S. Eshkabilov, I. Simko. (2024). Assessing Contents of Sugars, Vitamins, and Nutrients in Baby Leaf Lettuce from Hyperspectral Data with Machine Learning Models. Agriculture 14, 834. https://doi.org/10.3390/agriculture14060834

H. Etezadi, S. Eshkabilov. (2024). A Comprehensive Overview of Control Algorithms, Sensors, Actuators, and Communication Tools of Autonomous All-Terrain Vehicles in Agriculture. Agriculture 14, 163. https://doi.org/10.3390/agriculture14020163

M. Galad, S. Eshkabilov, E. Monono. (2024). Modification of a Grain Moisture Conditioner into a Vacuum Steam Pasteurizer. Designs 8, 1. https://doi.org/10.3390/designs8010001

S. Bhushan, U. Jayakrishnan, N. Johnson, S. Prajapati, K. Lakshan, K. Kaphle, S. Eshkabilov, H. Simsek. (2024). UV-C pretreatment of wastewater-grown algal biomass for recover of biofuel precursors, Journal of Environmental Chemical Engineering 12 (2), 112087. https://doi.org/10.1016/j.jece.2024.112087

G. Sharipov, A. Heiß, S. Eshkabilov, H. Griepentrog, D. Paraforos. (2023). Considering field topography in the model-based assessment of a centrifugal spreader’s variable rate application accuracy, Computers and Electronics in Agriculture, Volume 213, (2023), 108234, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2023.108234

S. Bhushan, S. Eshkabilov, et al. (2023). A comparative analysis of growth kinetics, image analysis, and biofuel potential of different algal strains. Chemosphere, Vol 336, 139196, ISSN 0045-6535, https://doi.org/10.1016/j.chemosphere.2023.139196

S. Bhushan, U. Jayakrishnan, B. Shree, P. Bhatt, S. Eshkabilov, H. Simsek. (2023). Biological pretreatment for algal biomass feedstock for biofuel production, Journal of Environmental Chemical Engineering, Volume 11, Issue 3, 109870, https://doi.org/10.1016/j.jece.2023.109870.

S. Eshkabilov, et. al. (2022). Hyperspectral image data and waveband indexing methods to estimate nutrient concentration on lettuce (Lactuca sativa L.) cultivars. MDPI Sensors, 22(21), 8158. https://doi.org/10.3390/s22218158

S. Eshkabilov, I. Ara, & F. Azarmi. (2022). A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel. Int J Adv Manuf Technol 123, 2733–2756 (2022). https://doi.org/10.1007/s00170-022-10331-y 

S. Eshkabilov, J. Stenger, E. Knutson, E. Küçüktopcu, H. Simsek, C. Lee. (2022). Hyperspectral Image Data and Waveband Indexing Methods to Estimate Nutrient Concentration on Lettuce (Lactuca sativa L.) Cultivars, Sensors 2022, 22(21), 8158; https://doi.org/10.3390/s22218158 

I. Ara, S. Eshkabilov, F. Azarmi, I. Sevostianov, and X. W. Tangpong. (2022). “Investigation on Elastic Properties and Unconventional Plasticity of 316L Stainless Steel Processed by Selective Laser Melting Technology.” Progress in Additive Manufacturing. Accessed April 25, 2022. https://doi.org/10.1007/s40964-022-00291-w. 

 M. Ahsan, S. Eshkabilov, B. Cemek, E. Küçüktopcu, C.W. Lee, H. Simsek. Deep Learning Models to Determine Nutrient Concentration in Hydroponically Grown Lettuce Cultivars (Lactuca sativa L.). Sustainability 2022, 14, 416. doi.org/10.3390/su14010416

S. Eshkabilov, I. Ara, I. Sevostianov, F. Azarmi, X. Tangpong (2021), Mechanical and thermal properties of stainless-steel parts, manufactured by various technologies, in relation to their microstructure, International Journal of Engineering Science 159, 103398.

S. Eshkabilov, A. Lee, X. Sun, C.W. Lee, H. Simsek (2021), Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars, Computers and Electronics in Agriculture 181, 105968.

S. Sunoj, H. Ademola, C. Igathinathane, S. Eshkabilov, H. Simsek (2021), Identification, quantification, and growth profiling of eight different microalgae species using image analysis, Journal: Algal Research, Vol 60, 102487, ISSN 2211-9264, 2021. doi.org/10.1016/j.algal.2021.102487.

G. Sharipov, A. Heiß, S. Eshkabilov, H. Griepentrog, D. Paraforos, (2021), Variable rate application accuracy of a centrifugal disc spreader using ISO 11783 communication data and granule motion modeling, Computers and Electronics in Agriculture 182, 106006.

M.R. Ahmed, D.D. Reed, J.M. Young, S. L. Eshkabilov, E.P. Berg, X. Sun, (2021), Beef Quality Grade Classification Based on Intramuscular Fat Content Using Hyperspectral Imaging Technology. Appl. Sci. 2021, 11, 4588. doi.org/10.3390/ app11104588 (Selected as Journal Cover Page).

N. Delavarpour, S. Eshkabilov, T. Bon, J. Nowatzki, S. Bajwa (2020), The Tractor-Cart System Controller with Fuzzy Logic Rules, Applied Sciences 10 (15), 5223.

 N. Delavarpour, S. Eshkabilov, T.Bon, J Nowatsky, S. Bajwa, (2020), Performance Comparison of Two Guidance Systems for Agricultural Equipment Navigation. Springer Lecture in Mechanical Engineering – Advances in Design, Simulation and Manufacturing II. 2019. DOI: doi.org/10.1007/978-3-030-22365-6_54. pp. 541–551, 2020.

A. Yunusov, D. Riskaliev, N. Abdukarimov, S. Eshkabilov, (2020), Signal Processing and Conditioning Tools and Methods for Road Profile Assessment. Springer Lecture in Mechanical Engineering – Advances in Design, Simulation and Manufacturing II. 2019. DOI: doi.org/10.1007/978-3-030-22365-6_74. pp. 742–751, 2020.

S. Eshkabilov, et al. (2019), Simulation and Analysis of Passive vs. Magneto-Rheological Suspension and Seat Dampers. Springer Lecture Notes, 2018, pp. 269-279.

S. Eshkabilov, A. Yunusov (2018), Measuring and Assessing Road Profile by Employing Accelerometers and IRI Assessment Tools. American Journal of Traffic and Transportation Engineering, vol. 3(2), 2018, pp. 24-40.

S. Ruzimov, S. Eshkabilov (2007), Analyses of Control Strategies for CVT of the HEV during regenerative braking. Cybernetics Issues, vol. 176, Tashkent, Uzbekistan. 2007, pp. 73-82.

S. Boedo, S. Eshkabilov (2003), Optimal Shape Design of Steadily Loaded Journal Bearings using Genetic Algorithms. ASME Tribology Transactions, vol. 46, 2003, pp. 134-143.

Sharipov, G.,  Heiß, A., Eshkabilov, S., Griepentrog, H., Paraforos, D. In-field Static Spread Pattern of a Centrifugal Spreader by Considering Field Topography, IFAC-Papers Online, Volume 55, Issue 32,2022, pp. 223-228, ISSN 2405-8963, https://doi.org/10.1016/j.ifacol.2022.11.143.

N. Delavarpour, S. Eshkabilov, T. Bon, J Nowatski, S. Bajwa, The Performance Analysis of Tactile and Ultrasonic Sensors for Planting, Fertilizing, and Cultivating Cover Crops. 2019   ASABE Annual International Meeting, Boston MA, USA.

A. Yunusov, S. Eshkabilov, D. Riskaliev, N. Abdukarimov, Estimation and evaluation of road roughness via different tools and methods. XI International Conference – Transport Problems, Poland, 2019, 771 - 784.

S. Eshkabilov, M. Grimheden, Development and Introduction of Mechatronics program in the example of five Uzbek universities. MECHATRONICS 2018 - Reinventing Mechatronics, University of Strathclyde, Glasgow, UK. September 19-21, 2018.

E. Holl, R. Scheidl, S. Eshkabilov,Simulation Study of a Digital Hydraulic Drive for a Knee Joint Exoskeleton. Proceedings of the ASME/BATH 2017 Symposium on Fluid Power & Motion Control, FPMC2017-4220, Sarasota, Florida, USA, October 16-19, 2017.

S. Eshkabilov, M. Grimheden, Modelling and Simulation of Electro-Rheological Damper for a Driver’s Seat. Proceedings of the 8th International Science and Engineering Conference on Mining and Metallurgy Complex: Achievements, Challenges and Trends, Navoi, Uzbekistan, November 19-21, 2015.

S. Eshkabilov, et. al., Simulation and Analysis of Cracked beams Using Finite Element Analysis and Experimental Modal Analysis Methods. Proceedings of the 15th International Conference on Experimental Mechanics, Porto, Portugal, July 22-27, 2012.

K. Kutlimuratov, S. Eshkabilov, Modeling and Simulation to Assess Passenger Comfort Ride in Medium Sized Buses.” ICSV – 17 - International Conference in Sound and Vibration, Cairo, Egypt, 2010.

A. Mukhitdinov, S. Ruzimov, S. Eshkabilov.“Modeling of human operator in the Driver-Vehicle-Environment system.” Russian SAE Conference, Moscow, Russia, 2009.

A. Mukhitdinov, S. Ruzimov, S. Eshkabilov, Different Approaches for Control of HEV during a Regenerative Braking Process.” IEEE Vehicle Power and Propulsion Conference, Arlington, Texas, USA, September 9- 12, 2007.

A. Mukhitdinov, S. Ruzimov, S. Eshkabilov (2006), Optimal Control Strategies for CVT of the HEV during a regenerative process. Electric and Hybrid Vehicles, 2006. ICEHV '06. IEEE Conference in Pune, India, Dec. 2006.

S. Eshkabilov, Applications of Genetic Algorithms. Conference Proceedings: WCIS – 2002 //Second World Conference on Intelligent Systems for Industrial Automation – Tashkent, Uzbekistan, 229-234. 2002.

S. Boedo, S. Eshkabilov, Optimal Shape Design of Finite-Width Journal Bearings Using Genetic Algorithms. presented at 2002 ASME/STLE Joint Tribology Conference, Cancun, Mexico, October 27-30, 2002, Paper 2002-TRIB-104.

Eshkabilov, S. (2022). Book - Beginning MATLAB and Simulink. Springer: Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-8748-4

S. Eshkabilov (2020). Book - Practical MATLAB Modeling with Simulink: Programming and Simulating Ordinary and Partial Differential Equations, Springer: Apress. ISBN: 9781484257999

S. Eshkabilov (2019). Book: “Beginning MATLAB and Simulink, publisher: From Novice to Professional,” Springer: Apress, 233 Spring Street, 3rd Fl., New York, NY 10013. ISBN: 978-1484250600.

S. Eshkabilov, (2016). Book: “MATLAB®/Simulink® Essentials (MATLAB®/Simulink® for Engineering Problem solving and Numerical Analysis).” Lulu Publishing House 2016, USA. ISBN: 978-1-4834-5806-9. Library of Congress Control Number: 2016914864. 2016.

S. Eshkabilov, Kj. Ahlin. (2010). Book: “MATLAB® Applications for Mechanical Engineering Students.” Published by US-AB, Sweden. ISBN: 978-91-633-7504-0 (90000).