Publications 

Key publications

1. Bardhan, A. (2024). Probabilistic assessment of heavy-haul railway track using multi-gene genetic programming. Applied Mathematical Modelling, 125, 687-720. https://doi.org/10.1016/j.apm.2023.08.009

2. Bardhan, A., Ozcan, N. T., Asteris, P. G., & Gokceoglu, C. (2024). Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels. Engineering Applications of Artificial Intelligence, 136, 108997. https://doi.org/10.1016/j.engappai.2024.108997

3. Bardhan, A., Alzo'ubi, A. K., Palanivelu, S., Hamidian, P., GuhaRay, A., Kumar, G., & Asteris, P. G. (2023). A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor. International Journal of Pavement Engineering, 24(1), 2176494. https://doi.org/10.1080/10298436.2023.2176494

4. Bardhan, A., & Samui, P. (2022). Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm. Transportation Geotechnics, 37, 100815. https://doi.org/10.1016/j.trgeo.2022.100815 

5. Bardhan, A., Kardani, N., Alzo’ubi, A. K., Samui, P., Gandomi, A. H., & Gokceoglu, C. (2022). A comparative analysis of hybrid computational models constructed with swarm intelligence algorithms for estimating soil compression index. Archives of Computational Methods in Engineering, 29(7), 4735-4773. https://doi.org/10.1007/s11831-022-09748-1 

6. Bardhan, A., GuhaRay, A., Gupta, S., Pradhan, B., & Gokceoglu, C. (2022). A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor. Transportation Geotechnics, 32, 100678. https://doi.org/10.1016/j.trgeo.2021.100678

7. Bardhan, A.., Samui, P., Ghosh, K., Gandomi, A. H., & Bhattacharyya, S. (2021). ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. Applied Soft Computing, 110, 107595. https://doi.org/10.1016/j.asoc.2021.107595 

8. Bardhan, A., Gokceoglu, C., Burman, A., Samui, P., & Asteris, P. G. (2021). Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions. Engineering Geology, 291, 106239. https://doi.org/10.1016/j.enggeo.2021.106239 

9. Bardhan, A. Manna, P., Kumar, V., Burman, A., Žlender, B., & Samui, P. (2021). Reliability Analysis of Piled Raft Foundation Using a Novel Hybrid Approach of ANN and Equilibrium Optimizer. CMES-Computer Modeling in Engineering & Sciences, 128(3). https://www.techscience.com/CMES/v128n3/44007 

10. Bardhan, A., Kardani, N., GuhaRay, A., Burman, A., Samui, P., & Zhang, Y. (2021). Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment. Journal of Rock Mechanics and Geotechnical Engineering, 13(6), 1398-1412. https://doi.org/10.1016/j.jrmge.2021.06.015 

All publications

2025 (7 publications)

1. Li, Z., Zhao, Y., Suman, S. K., & Bardhan, A. (2025). Stochastic simulation of microenvironment comfort and greenhouse gas emission of residential building using Monte-Carlo and hybrid intelligence paradigms. Environment, Development and Sustainability, 1-43.

2. Khatti, J., Asteris, P. G., & Bardhan, A. (2025). Data proportionality and its impact on machine learning predictions of ground granulated blast furnace slag concrete strength. Frontiers of Structural and Civil Engineering, 1-29. 

3. Suman, S. K., Kamal, S. S., Kumar, A., Khatti, J., & Bardhan, A. (2025). Prediction of CBR of Hydrated Lime-Activated Rice Husk Ash (HARHA) Treated Soil Using Genetic and Particle Swarm Optimized ANN, LSSVM, and RVM Models. Transportation Infrastructure Geotechnology, 12(6), 1-33. 

4. Suman, S. K., Shekhar Kamal, S., Kumar, S., Kumar, A., & Bardhan, A. (2025). GUI-powered compressive strength estimation of green concrete utilising an efficient ensemble learning paradigm. Nondestructive Testing and Evaluation, 1-26. 

5. Li, Z., Yan, X., Tang, S., Xia, H., Ying, Y., & Bardhan, A. (2025). Multiobjective and hybrid intelligence approaches to enhance human comfort and mitigate greenhouse gas emissions of Chinese courtyard buildings. International Journal of Low-Carbon Technologies, 20, 1520-1543. 

6. Asteris, P. G., Gandomi, A. H., Armaghani, D. J., Mohammed, A. S., Bousiou, Z., Batsis, I., ..Bardhan, A., .... & Gavriilaki, E. (2025). Pre-transplant and transplant parameters predict long-term survival after hematopoietic cell transplantation using machine learning. Transplant Immunology, 102211.

7. Kaloop, M. R., Bardhan, A., Samui, P., Hu, J. W., & Elsharawy, M. (2025). Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings. Alexandria Engineering Journal, 111, 610-627. 

2024 (11 publications)

1. Bardhan, A. (2024). Probabilistic assessment of heavy-haul railway track using multi-gene genetic programming. Applied Mathematical Modelling, 125, 687-720. 

2. Bardhan, A., Kumar, S., Kumar, A., Suman, S. K., & Biswas, R. (2024). Compressive Strength Estimation of Manufactured Sand Concrete Using Hybrid ANN Paradigms Constructed with Meta-heuristic Algorithm s. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 48(6), 4233-4253.

3. Bardhan, A., Ozcan, N. T., Asteris, P. G., & Gokceoglu, C. (2024). Hybrid ensemble paradigms for estimating tunnel boring machine penetration rate for the 10-km long Bahce-Nurdagi twin tunnels. Engineering Applications of Artificial Intelligence, 136, 108997. 

4. Asteris, P. G., Gavriilaki, E., Kampaktsis, P. N., Gandomi, A. H., Armaghani, D. J., Tsoukalas, M. Z., . Bardhan, A.,.... & Gkaliagkousi, E. (2024). Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm. International journal of cardiology, 412, 132339. 

5. Bardhan, A., Suman, S. K., Kumar, S., & Asteris, P. G. (2024). An efficient framework of optimized ensemble paradigm for estimating resilient modulus of subgrades. Transportation Geotechnics, 48, 101315. 

6. Iqbal, M., Salami, B. A., Khan, M. A., Jalal, F. E., Jamal, A., & Bardhan, A. (2024). Computational approach towards shear strength prediction of squat RC walls implementing ensemble and hybrid SVR paradigms. Materials Today Communications, 40, 109921. 

7. Kardani, N., Kumar, A., Kumar, S., Karr, O., & Bardhan, A. (2024). A Deep Learning Approach for Modelling of Resilient Modulus of Compacted Subgrade Subjected to Freezing-Thaw Cycles and Moistures. Transportation Infrastructure Geotechnology, 1-24. 

8. Asteris, P. G., Gandomi, A. H., Armaghani, D. J., Kokoris, S., Papandreadi, A. T., Roumelioti, A., ....Bardhan, A.,... & Terpos, E. (2024). Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm. European Journal of Internal Medicine, 125, 67-73. 

9. Asteris, P. G., Gandomi, A. H., Armaghani, D. J., Tsoukalas, M. Z., Gavriilaki, E., Gerber, G., .....Bardhan, A.,... & Dimopoulos, M. A. (2024). Genetic justification of COVID‐19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm. Journal of Cellular and Molecular Medicine, 28(4), e18105. 

10. Ghani, S., Sapkota, S. C., Singh, R. K., Bardhan, A., & Asteris, P. G. (2024). Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms. Soil Dynamics and Earthquake Engineering, 177, 108399. 

11. Bardhan, A., Singh, R. K., Alatiyyah, M., & Alateyah, S. A. (2024). An Effective Hybrid Model of ELM and Enhanced GWO for Estimating Compressive Strength of Metakaolin-Contained Cemented Materials. Computer Modeling in Engineering & Sciences (CMES), 139(2). 

2023 (11 publications)

1. Bardhan, A., Alzo'ubi, A. K., Palanivelu, S., Hamidian, P., GuhaRay, A., Kumar, G., ... & Asteris, P. G. (2023). A hybrid approach of ANN and improved PSO for estimating soaked CBR of subgrade soils of heavy-haul railway corridor. International Journal of Pavement Engineering, 24(1), 2176494. 

2. Kumar, S., Choudhary, S. S., Burman, A., Singh, R. K., Bardhan, A., & Asteris, P. G. (2023). Probabilistic slope stability analysis of Mount St. Helens using Scoops3D and a hybrid intelligence paradigm. Mathematics, 11(18), 3809. 

3. Bardhan, A., Kardani, N., GuhaRay, A., Samui, P., Wu, C., Zhang, Y., ... & Gokceoglu, C. (2023). Hybrid neuro swarm intelligence paradigms for predicting the shear strength of sub-soil of heavy-haul freight corridor. Road materials and pavement design, 24(8), 1885-1916. 

4. Bardhan, A., Singh, R. K., Ghani, S., Konstantakatos, G., & Asteris, P. G. (2023). Modelling soil compaction parameters using an enhanced hybrid intelligence paradigm of ANFIS and improved grey wolf optimiser. Mathematics, 11(14), 3064. 

5. Bardhan, A., & Asteris, P. G. (2023). Application of hybrid ANN paradigms built with nature inspired meta-heuristics for modelling soil compaction parameters. Transportation Geotechnics, 41, 100995. 

6. Kumar, V., Rao, B., Burman, A., Kumar, S., & Bardhan, A. (2023). An exact solution of three-dimensional rock mass strength criterion. Modeling Earth Systems and Environment, 9(1), 723-734. 

7. Singh, P., Bardhan, A., Han, F., Samui, P., & Zhang, W. (2023). A critical review of conventional and soft computing methods for slope stability analysis. Modeling Earth Systems and Environment, 9(1), 1-17. 

8. Raja, M. N. A., Jaffar, S. T. A., Bardhan, A., & Shukla, S. K. (2023). Predicting and validating the load-settlement behavior of large-scale geosynthetic-reinforced soil abutments using hybrid intelligent modeling. Journal of Rock Mechanics and Geotechnical Engineering, 15(3), 773-788. 

9. Kaloop, M. R., Bardhan, A., Samui, P., Hu, J. W., & Zarzoura, F. (2023). Computational intelligence approaches for estimating the unconfined compressive strength of rocks. Arabian Journal of Geosciences, 16(1), 37. 

10. Asteris, P. G., Kokoris, S., Gavriilaki, E., Tsoukalas, M. Z., Houpas, P., Paneta, M., ...... Bardhan, A.,..... & Dimopoulos, M. A. (2023). Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices. Clinical Immunology, 246, 109218. 

11. Skentou, A. D., Bardhan, A., Mamou, A., Lemonis, M. E., Kumar, G., Samui, P., ... & Asteris, P. G. (2023). Closed-form equation for estimating unconfined compressive strength of granite from three non-destructive tests using soft computing models. Rock Mechanics and Rock Engineering, 56(1), 487-514. 

2022 (18 publications)

1. Bardhan, A., & Samui, P. (2022). Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm. Transportation Geotechnics, 37, 100815. 

2. Bardhan, A., Kardani, N., Alzo’ubi, A. K., Samui, P., Gandomi, A. H., & Gokceoglu, C. (2022). A comparative analysis of hybrid computational models constructed with swarm intelligence algorithms for estimating soil compression index. Archives of Computational Methods in Engineering, 29(7), 4735-4773. 

3. Bardhan, A., Kardani, N., Alzo'ubi, A. K., Roy, B., Samui, P., & Gandomi, A. H. (2022). Novel integration of extreme learning machine and improved Harris hawks optimization with particle swarm optimization-based mutation for predicting soil consolidation parameter. Journal of Rock Mechanics and Geotechnical Engineering, 14(5), 1588-1608. 

4. Bardhan, A., Biswas, R., Kardani, N., Iqbal, M., Samui, P., Singh, M. P., & Asteris, P. G. (2022). A novel integrated approach of augmented grey wolf optimizer and ANN for estimating axial load carrying-capacity of concrete-filled steel tube columns. Construction and Building Materials, 337, 127454. 

5. Bardhan, A., & Samui, P. (2022). Application of artificial intelligence techniques in slope stability analysis: a short review and future prospects. International Journal of Geotechnical Earthquake Engineering (IJGEE), 13(1), 1-23. 

6. Bardhan, A., GuhaRay, A., Gupta, S., Pradhan, B., & Gokceoglu, C. (2022). A novel integrated approach of ELM and modified equilibrium optimizer for predicting soil compression index of subgrade layer of Dedicated Freight Corridor. Transportation Geotechnics, 32, 100678. 

7. Kardani, N., Bardhan, A., Roy, B., Samui, P., Nazem, M., Armaghani, D. J., & Zhou, A. (2022). A novel improved Harris Hawks optimization algorithm coupled with ELM for predicting permeability of tight carbonates. Engineering with Computers, 1-24. 

8. Kaloop, M. R., Bardhan, A., Hu, J. W., & Abd-Elrahman, M. (2022). Estimation of lightweight aggregate concrete characteristics using a novel stacking ensemble approach. Advances in nano research, 13(5), 499-512. 

9. Khan, K., Iqbal, M., Jalal, F. E., Amin, M. N., Alam, M. W., & Bardhan, A. (2022). Hybrid ANN models for durability of GFRP rebars in alkaline concrete environment using three swarm-based optimization algorithms. Construction and Building Materials, 352, 128862. 

10. Salami, B. A., Iqbal, M., Abdulraheem, A., Jalal, F. E., Alimi, W., Jamal, A., ... & Bardhan, A. (2022). Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches. Cement and Concrete Composites, 133, 104721. 

11. Pradeep, T., GuhaRay, A., Bardhan, A., Samui, P., Kumar, S., & Armaghani, D. J. (2022). Reliability and prediction of embedment depth of sheet pile walls using hybrid ANN with optimization techniques. Arabian Journal for Science and Engineering, 47(10), 12853-12871. 

12. Kardani, N., Aminpour, M., Raja, M. N. A., Kumar, G., Bardhan, A., & Nazem, M. (2022). Prediction of the resilient modulus of compacted subgrade soils using ensemble machine learning methods. Transportation Geotechnics, 36, 100827. 

13. Topal, U. M. U. T., Goodarzimehr, V., Bardhan, A., Vo-Duy, T., & Shojaee, S. (2022). Maximization of the fundamental frequency of the FG-CNTRC quadrilateral plates using a new hybrid PSOG algorithm. Composite Structures, 295, 115823. 

14. Azam, A., Bardhan, A., Kaloop, M. R., Samui, P., Alanazi, F., Alzara, M., & Yosri, A. M. (2022). Modeling resilient modulus of subgrade soils using LSSVM optimized with swarm intelligence algorithms. Scientific Reports, 12(1), 14454. 

15. Kardani, N., Bardhan, A., Samui, P., Nazem, M., Zhou, A., & Armaghani, D. J. (2022). A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil. Engineering with Computers, 1-20. 

16. Kardani, N., Bardhan, A., Samui, P., Nazem, M., Asteris, P. G., & Zhou, A. (2022). Predicting the thermal conductivity of soils using integrated approach of ANN and PSO with adaptive and time-varying acceleration coefficients. International Journal of Thermal Sciences, 173, 107427. 

17. Pradeep, T., Bardhan, A., & Samui, P. (2022). Prediction of rock strain using soft computing framework. Innovative Infrastructure Solutions, 7, 1-24. 

18. Das, G., Burman, A., Bardhan, A., Kumar, S., Choudhary, S. S., & Samui, P. (2022). Risk estimation of soil slope stability problems. Arabian Journal of Geosciences, 15(2), 204. 

2021 (15 publications)

1. Bardhan, A., Kardani, N., GuhaRay, A., Burman, A., Samui, P., & Zhang, Y. (2021). Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment. Journal of Rock Mechanics and Geotechnical Engineering, 13(6), 1398-1412. 

2. Bardhan, A., Dhilipkumar, B., Mulagala, L., & Samui, P. (2021, November). Application of bi-directional extreme learning machine in predicting stability of slope of railway embankment in seismic condition. In Stability of Slopes and Underground Excavations: Proceedings of Indian Geotechnical Conference 2020 Volume 3 (pp. 11-22). Singapore: Springer Singapore. 

3. Bardhan, A., Samui, P., Ghosh, K., Gandomi, A. H., & Bhattacharyya, S. (2021). ELM-based adaptive neuro swarm intelligence techniques for predicting the California bearing ratio of soils in soaked conditions. Applied Soft Computing, 110, 107595. 

4. Bardhan, A., Gokceoglu, C., Burman, A., Samui, P., & Asteris, P. G. (2021). Efficient computational techniques for predicting the California bearing ratio of soil in soaked conditions. Engineering Geology, 291, 106239. 

5. Bardhan, A., Manna, P., Kumar, V., Burman, A., Žlender, B., & Samui, P. (2021). Reliability Analysis of Piled Raft Foundation Using a Novel Hybrid Approach of ANN and Equilibrium Optimizer. CMES-Computer Modeling in Engineering & Sciences, 128(3). 

6. Asteris, P. G., Skentou, A. D., Bardhan, A., Samui, P., & Lourenço, P. B. (2021). Soft computing techniques for the prediction of concrete compressive strength using Non-Destructive tests. Construction and Building Materials, 303, 124450. 

7. Pradeep, T., Bardhan, A., Burman, A., & Samui, P. (2021). Rock strain prediction using deep neural network and hybrid models of anfis and meta-heuristic optimization algorithms. Infrastructures, 6(9), 129. 

8. Kaloop, M. R., Bardhan, A., Kardani, N., Samui, P., Hu, J. W., & Ramzy, A. (2021). Novel application of adaptive swarm intelligence techniques coupled with adaptive network-based fuzzy inference system in predicting photovoltaic power. Renewable and Sustainable Energy Reviews, 148, 111315. 

9. Ghani, S., Kumari, S., & Bardhan, A. (2021). A novel liquefaction study for fine-grained soil using PCA-based hybrid soft computing models. Sādhanā, 46(3), 113. 

10. Dhilipkumar, B., Bardhan, A., Samui, P., & Kumar, S. (2021). Predicting Probability of Liquefaction Susceptibility based on a wide range of CPT data. International Journal of Geotechnical Earthquake Engineering (IJGEE), 12(2), 18-41. 

11. Asteris, P. G., Skentou, A. D., Bardhan, A., Samui, P., & Pilakoutas, K. (2021). Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models. Cement and Concrete Research, 145, 106449. 

12. Kumar, M., Bardhan, A., Samui, P., Hu, J. W., & Kaloop, M. R. (2021). Reliability analysis of pile foundation using soft computing techniques: a comparative study. Processes, 9(3), 486. 

13. Kardani, N., Bardhan, A., Kim, D., Samui, P., & Zhou, A. (2021). Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO. Journal of Building Engineering, 35, 102105. 

14. Biswas, R., Bardhan, A., Samui, P., Rai, B., Nayak, S., & Armaghani, D. J. (2021). Efficient soft computing techniques for the prediction of compressive strength of geopolymer concrete. Computers and Concrete, 28(2), 221-232. 

15. Kardani, N., Bardhan, A., Gupta, S., Samui, P., Nazem, M., Zhang, Y., & Zhou, A. (2021). Predicting permeability of tight carbonates using a hybrid machine learning approach of modified equilibrium optimizer and extreme learning machine. Acta Geotechnica, 1-17.