Contact Information Email: ssingh21@csu.edu

Education University of California Davis Biological and Agricultural Engineering Doctor of Philosophy (Ph.D.) University of California Davis Davis, USA Biological and Agricultural Engineering Master of Science (M.Sc.) Tamil Nadu Agricultural University Trichy, India Agricultural Engineering Bachelor of Engineering (B.E.)

Publications

1. Data Driven Computational Design and Experimental Validation of Drugs for Accelerated Mitigation of
   Pandemic-like Scenarios. SK Singh, K King, C Gannett, C Chuong, SY Joshi, C Plate, P Farzeen, EM Webb, LK Kunche, JW Lucarelli, AN Lowell, AM Brown, SA Deshmukh, The Journal of Physical Chemistry Letters, 2023, 14, 9490-9499
2. Data Driven Discovery of MOFs for Hydrogen Gas Adsorption, SK Singh, AT Sose, F Wang, KK Bejagam, SA Deshmukh, Journal of Chemical Theory and Computation, 2023, 19 (19), 6686-6703
3. Coarse-grained molecular dynamics integrated with convolutional neural network for comparing shapes of temperature sensitive bottlebrushes, SY Joshi, SK Singh, SA Deshmukh, 2022, Nature, npj
   Computational Materials 8 (1), 45
4. Dual-Force Zone Nonequilibrium Molecular Dynamics Simulations on Nanoporous Metal–Organic
   Framework Membranes for Separation of H2/CH4 Mixtures, F Wang, AT Sose, SK Singh, SA Deshmukh, ACS Applied Nano Materials. 2022, 5 (3), 4048-4061
5. Dehydration of polymer chains initiates graphene folding in water, SY Joshi, SK Singh, KK Bejagam, SA
   Deshmukh, Carbon, 2021, 180, 244-253
6. Mitigating Hotspots in Multi-disk Oil Cooled Brake Using Machine Learning, SK Singh, D Braginsky, K
   Ghorpade, P Tamamidis, G Monacelli, SAE International Journal of Commercial Vehicles, 2021 14 (02-14-03-0027)
7. Deep Learnt Grading of Almond Kernels, SK Vidyarthi, SK Singh, HW Xiao, R Tiwari, Journal of Food Process Engineering, 2021, e13662
8. Designing Next Generation Exhaust Aftertreatment Systems Using Machine Learning, SK Singh, D Braginsky, P Tamamidis, M Gennaro, SAE International Journal of Commercial Vehicles, 2020, 13 (02-13-03-0016), 215-220
9. Machine Learnt Image Processing to Predict Weight and Size of Rice Kernels, SK Singh, SK Vidyarthi, R Tiwari, Journal of Food Engineering, 2020, 274, 109828.
10. Prediction of Size and Mass of Pistachio Kernels using Random Forest Machine Learning, SK Vidyarthi, R Tiwari, SK Singh, HW Xiao, Journal of Food Process Engineering, 2020, 43 (9), e13473
11. Classification of first quality fancy cashew kernels using four deep convolutional neural network models, SK Vidyarthi, SK Singh, R Tiwari, HW Xiao, R Rai, Journal of Food Process Engineering, 2020, 43 (12), e13552
12. Stack ensembled model to measure size and mass of almond kernels, SK Vidyarthi, R Tiwari, SK Singh, Journal of Food Process Engineering, 2020, e13374.
13. Solvation dynamics of N-substituted acrylamide polymers and the importance for phase transition behavior, IO de Solorzano, KK Bejagam, Y An, SK Singh, SA Deshmukh, Soft Matter, 2020, 16 (6), 1582-1593
14. Development of an accurate coarse-grained model of poly (acrylic acid) in explicit solvents, Y An, S Singh, KK Bejagam, SA Deshmukh, Macromolecules, 2019, 52 (13), 4875-4887
15. Machine-learning based stacked ensemble model for accurate analysis of molecular dynamics simulations SK Singh, KK Bejagam, Y An, SA Deshmukh, The Journal of Physical Chemistry, 2019, A 123 (24), 5190-5198
16. Unraveling the conformations of backbone and side chains in thermosensitive bottlebrush polymers, KK Bejagam, SK Singh, R Ahn, SA Deshmukh, Macromolecules, 2019, 52 (23), 9398-9408
17. A mathematical model of heat transfer during tomato peeling using selected electric infrared emitters, SK Vidyarthi, HM El Mashad, R Khir, SK Upadhyaya, SK Singh, R Zhang, ..., Biosystems Engineering, 2019, 186, 106-117
18. Development of Accurate Non-bonded Interaction Parameters between Hexagonal Boron-Nitride and Water, P. Achari, K. Bejagam; SK. Singh, S. Deshmukh, Computational Materials Science, 2019, 161, 339-345.
19. Machine Learnt Coarse-Grained Models, K Bejagam, SK. Singh, Y. An, S. Deshmukh, The Journal of Physical Chemistry Letters, 2018, (9), 4667–4672
20. Machine Learning Enabled New Insights into the Coil-to-Globule Transition of Thermosensitive Polymers using a Coarse-Grained Model, K Bejagam, Y. An, SK. Singh, S. Deshmukh, The Journal of Physical Chemistry Letters, 2018, 9 (22), 6480-6488.
21. 3D Investigation into the Thermal Behavior of the Wet Multi-Disk Axle Brake of an Off-highway Machinery, SK Singh, H Abbassi, Panos Tamamidis. Applied Thermal Engineering, 2018, 136, 576-588
22. 1D/3D transient HVAC thermal modeling of an off-highway machinery cabin using CFD-ANN hybrid method, SK Singh, H Abbassi, Applied Thermal Engineering, 2018, 135, 406-417
23. Nanoparticle activated and directed assembly of graphene into a nanoscroll, KK Bejagam, SK Singh, SA Deshmukh, Carbon, 2018 134, 43-52
24.  Development of Non-bonded Interaction Parameters between Graphene and Water using Particle Swarm Optimization, K. Bejagam, SK. Singh, S. Deshmukh. Journal of Computational Chemistry, 2018, 39 (12), 721-734
25. PSO Assisted Development of New Transferable Coarse-Grained Water Models, K. Bejagam, SK Singh, Y. An, C. Berry, and S. Deshmukh*. Journal of Physical Chemistry B, 2018
26. Air-Impingement Cooling of Boiled Eggs: Analysis of Flow Visualization and Heat Transfer, F. Erdogdu, M Ferrua, SK Singh, R P Singh. Journal of Food Engineering, 2007, 79 (3), 920-928

Book Chapters

1. Gastric Digestion of Foods: Mathematical Modeling of Flow Field in a Human Stomach, Samrendra
   Singh, R. Paul Singh. Food Engineering Interfaces, 2010.
2. Air Impingement Cooling of Cylindrical Object using Slot Jet, Samrendra Singh, R. Paul Singh. Food
   Engineering: Integrated Approach, 2008

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