Journal Publications
2025
S. S. Kalaivani, A. Muthukrishnaraj, Kritesh Kumar Gupta, A. Murugesan, S.C. Gurumurthy, M.V. Arularasu, A. Manikandan, 2025. Explainable Machine Learning for Comprehensive Characterization of Poly (6-(Ethoxybenzothiazole Acrylamide)) Resin for Removal of Th(IV), As(V), and Hg(II) ions from Aqueous Solution. Environmental Geochemistry and Health
Ankush Kumar, Kritesh Kumar Gupta, Parthasarathi Choudhury, 2025. Strategic Flood Mitigation: Leveraging Machine Learning for Dynamic Flow Abstraction and Release. International Journal of Disaster Resilience in the Built Environment
Dipak Kumar Mandal, Kritesh Kumar Gupta, Nirmalendu Biswas, Nirmal K Manna, Pinar Mert Cuce, Erdem Cuce, 2025. Sustainable Design of Solar Chimney Power Plants: A Hybrid Neural Network Approach for Thermo-Economic Optimization. Renewable Energy
Anjana Sankar, Gupta, K.K., Vishal Bhalla, and Daya Shankar Pandey, 2025. Multi-criteria optimization of nanofluid-based solar collector for enhanced performance: An explainable machine learning-driven approach. Energy
Dipak Kumar Mandal, Kritesh Kumar Gupta, Nirmalendu Biswas, Nirmal K Manna, Somnath Santra, Erdem Cuce, 2025. A Novel Comparative Study of Machine Learning Surrogate Models for Solar Chimney (SC) Plant Performance Evaluation: Thermo-Physical Insights. Energy
Dipak Kumar Mandal, Kritesh Kumar Gupta, Nirmalendu Biswas, Nirmal K. Manna, Somnath Santra, Ali Cemal Benim, 2025. Optimization of hybrid solar chimney power plants (HSCPPs): A review of multi-objective approaches. Applied Energy
Subrata Barman, Kritesh Kumar Gupta, Sudip Dey, 2025. Molecular Dynamics-Based Explanation of the Reinforcement Geometry Effects on CNT/Graphene-Reinforced Al_(0.3) CoCrFeNi High-Entropy Alloys. Scientific Reports
2024
Gupta, K.K., Barman, S., Naskar, S. Mukhopadhyay, T., and Dey, S., 2024. On exploiting nonparametric kernel-based probabilistic machine learning over the large compositional space of high entropy alloys for optimal nanoscale ballistics. Scientific Reports, Nature.
Gupta, K.K., Barman, S., Mukhopadhyay, T., and Dey, S., 2024. Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys. Machine Learning: Science and Technology, IOPScience.
Barman, S., Gupta, K.K.*, and Dey, S., 2024. Exploring Nano-scale Scratching Induced Tribological Behaviour of Graphene Engineered AlCoCrFeNi High Entropy Alloy. ASME's Journal of Applied Mechanics.
Barman, S., Gupta, K.K.* and Dey, S., 2024. Probing atomistic deformation behavior of graphene-coated Al0. 3CoCrFeNi high-entropy alloy under nanoindentation. Journal of Micromechanics and Molecular Physics, pp.1-14.
Barman, S., Gupta, K.K.* and Dey, S., 2024. Enhancing Mechanical Performance of Al0. 3CoCrFeNi HEA Films Through Graphene Coating: Insights from Nanoindentation and Dislocation Mechanism Analysis. Modelling and Simulation in Materials Science and Engineering. IOPScience.
Roy, A., Gupta, K.K., Mukhopadhyay, T. and Dey, S., 2024. Random Topological defects in Double-walled carbon nanotubes: On characterization and artificial engineering for modulation of spatio-mechanical properties. Advances in Nano Research, Techno-Press
Gautam, Gupta, K.K., Bhowmik, D. and Dey, S., 2024. Closure to “Probing the Stochastic Unconfined Compressive Strength of Lime–RHA Mix Treated Clayey Soil”. Journal of Materials in Civil Engineering, ASCE, 36(4), p.07024002.
Gautam, Gupta, K.K.*, and Bhowmik, D., 2024. Exploring Sustainable Solutions for Soil Stabilization through Explainable Gaussian Process-assisted Multi-Objective Optimization. Materials Today Communications.
Barman, S., Gupta, K.K., Kushari, S. and Dey, S., 2024. Stochastic performance of journal bearing with two-layered porous bush- A machine learning approach. Journal of Tribology, ASME.
2023 (Within PhD)
Gupta, K.K., Mukhopadhyay, T., and Dey, S., 2023. Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/Al composite laminates under high-velocity ballistic impact of nano-projectiles, Applied Surface Science, Elsevier.
Saha, S., Kumar Gupta, K., Ranjan Maity, S. and Dey, S., 2023. Probabilistic investigation of geometric responses in Wire EDM machined complex-shaped profile: A machine learning based approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 237(12), pp.1798-1809.
Gautam, Gupta, K.K., Bhowmik, D. and Dey, S., 2023. Probing the Stochastic Unconfined Compressive Strength of Lime–RHA Mix Treated Clayey Soil. Journal of Materials in Civil Engineering, ASCE.
2022 (Within PhD)
Kushari, S., Gupta, K.K. and Dey, S., 2022. Metamodeling-assisted probabilistic first ply failure analysis of laminated composite plates—RS-HDMR-and GPR-based approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44(8), pp.1-21.
Gupta, K.K., Roy, A., Mukhopadhyay, T., Roy, L. and Dey, S., 2022. Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization. Materials Today Communications, 32, p.103932.
Gupta, K.K., Roy, L. and Dey, S., 2022. Hybrid machine-learning-assisted stochastic nano-indentation behaviour of twisted bilayer graphene. Journal of Physics and Chemistry of Solids, 167, p.110711.
Roy, A., Gupta, K.K. and Dey, S., 2022. Probabilistic investigation of temperature-dependent vibrational behavior of hetero-nanotubes. Applied Nanoscience, 12(7), pp.2077-2089.
Saha, S., Gupta, K.K., Maity, S.R. and Dey, S., 2022. Data-driven probabilistic performance of Wire EDM: A machine learning based approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 236(6-7), pp.908-919.
Gupta, K.K., Mukhopadhyay, T., Roy, L. and Dey, S., 2022. Hybrid machine-learning-assisted quantification of the compound internal and external uncertainties of graphene: towards inclusive analysis and design. Materials Advances, 3(2), pp.1160-1181.
Gupta, K.K., Mukhopadhyay, T., Roy, L. and Dey, S., 2022. High-velocity ballistics of twisted bilayer graphene under stochastic disorder. Advances in nano research, Techno-Press.
2021 (Within PhD)
Roy, A., Gupta, K.K., Naskar, S., Mukhopadhyay, T. and Dey, S., 2021. Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs. Materials Today Communications, 26, p.102021.
Gupta, K.K., Mukhopadhyay, T., Roy, A., Roy, L. and Dey, S., 2021. Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping. Journal of Physics and Chemistry of Solids, 155, p.110111.
Mukhopadhyay, T., Naskar, S., Gupta, K.K., Kumar, R., Dey, S. and Adhikari, S., 2021. Probing the stochastic dynamics of coronaviruses: Machine learning assisted deep computational insights with exploitable dimensions. Advanced Theory and Simulations, 4(7), p.2000291.
2020 (Within PhD)
Gupta, K.K., Mukhopadhyay, T., Roy, A. and Dey, S., 2020. Probing the compound effect of spatially varying intrinsic defects and doping on mechanical properties of hybrid graphene monolayers. Journal of Materials Science & Technology, 50, pp.44-58.
International Conferences
Gupta, K.K. and Dey, S., 2019. Effect of Temperature on the Fracture Strength of Perfect and Defective MonoLayered Graphene. In Advances in Computational Methods in Manufacturing (pp. 793-804). Springer, Singapore. (ICCMM-2019, IIT Guwahati)
Gupta, K.K., Roy, A. and Dey, S., 2020. Comparative study of various defects in monolayer graphene using molecular dynamics simulation. In Advances in Applied Mechanical Engineering (pp. 539-546). Springer, Singapore. (ICAMER-2020, NIT Warangal)
Majeti, V.K., Roy, A., Gupta, K.K. and Dey, S., 2020, June. Effect of silicon dopant on mechanical properties of monolayer graphene. In IOP Conference Series: Materials Science and Engineering (Vol. 872, No. 1, p. 012188). IOP Publishing.
Saumya, K., Gupta, K.K., Roy, A. and Dey, S., 2020, June. Effect of spatial distribution of nanopores on mechanical properties of monolayer graphene. In IOP Conference Series: Materials Science and Engineering (Vol. 872, No. 1, p. 012187). IOP Publishing.
Gupta, K.K., Roy, L. and Dey, S., 2022. Machine Learning-Based Molecular Dynamics Simulations of Monolayered Graphene. In Recent Advances in Computational and Experimental Mechanics, Vol II (pp. 251-263). Springer, Singapore. (ICRACEM-2020, IIT Kharagpur)
Barman, S., Gupta, K.K., Dey, S., 2022. Influence of alloying elements on mechanical deformation of AlCoCrFeNi High-Entropy Alloy. 67th Congress of the Indian Society of Theoretical and Applied Mechanics (ISTAM-2022) -An International Conference at IIT Mandi, 14th 16th December.
Harshvardhan V., Gupta, K.K., Soman, K.P., 2024. Probing the Genetic Algorithm assisted Vigenère Cipher Cryptanalysis. International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE 2024). IEEE Conference, PES Institute of Technology and Management Shivamogga, Karnataka, India
Sankar A., Gupta, K.K., and Bhalla, V. 2024. Driven Predictive Framework for Nanofluid-based Solar Thermal Collector: A Machine Learning Approach. In E3S Web of Conferences (Vol. 559, p. 02003). EDP Sciences.
Renny Harlin D., Gupta, K.K., 2024. Neural Networks Assisted Vigenère Cipher Encryption of Text. International Conference on Recent Advances in Intelligent Computational Systems (RAICS). IEEE Conference, MAR ATHANASIUS COLLEGE OF ENGINEERING KOTHAMANGALAM, KERALA, INDIA
Singh N., Jha, W., Gupta, P., Gupta, K.K., 2024. Artificial Intelligence driven Portfolio Management. International Conference on Recent Advances in Intelligent Computational Systems (RAICS). IEEE Conference, MAR ATHANASIUS COLLEGE OF ENGINEERING KOTHAMANGALAM, KERALA, INDIA
Book Chapters
Gupta KK, Roy L, Dey S. Ballistic performance of Bi-layer Graphene: Artificial Neural Network based Molecular Dynamics Simulations. Title of the book: Machine Learning applied to composites, Publisher: Springer, Nature.
Dey, S. and Gupta, K.K., 2023. Uncertainty Quantification—An Eternal Future of Engineering and Technology. In Engineering Pedagogy: A Collection of Articles in Honor of Prof. Amitabha Ghosh (pp. 145-155). Singapore: Springer Nature Singapore.