Abhishek S. Dhoble, Ph.D. - Publications
Affiliations: | 2004-2008 | Chemical Engineering | LIT Nagpur |
2008-2009 | Biological Engineering | University of Florida, Gainesville, Gainesville, FL, United States | |
2012-2016 | Biological Engineering | University of Illinois, Urbana-Champaign, Urbana-Champaign, IL | |
2016-2019 | PostDoc | NSF/USDA EAGER at UIUC | |
2019-2021 | Assistant Professor Chemical Engineering | BITS Pilani | |
2021- | Assistant Professor Biochemical Engineering | Indian Institute of Technology (BHU) |
Area:
Microbiome; Anaerobic Digestion; Flow Cytometry; Machine Learning; Microbial Population Dynamics; Microbiome CharacterizationWebsite:
https://iitbhu.ac.in/dept/bce/people/asdhoblebceYear | Citation | Score | |||
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2023 | Priyadarsini M, Kushwaha J, Pandey KP, Rani J, Dhoble AS. Application of flow cytometry for rapid, high-throughput, multiparametric analysis of environmental microbiomes. Journal of Microbiological Methods. 214: 106841. PMID 37832922 DOI: 10.1016/j.mimet.2023.106841 | 0.427 | |||
2019 | Dhoble AS, Ryan KT, Lahiri P, Chen M, Pang X, Cardoso FC, Bhalerao KD. Cytometric fingerprinting and machine learning (CFML): A novel label-free, objective method for routine mastitis screening Computers and Electronics in Agriculture. 161: 505-513. DOI: 10.1016/J.Compag.2019.04.029 | 0.617 | |||
2018 | Dhoble AS, Lahiri P, Bhalerao KD. Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes. Journal of Biological Engineering. 12: 19. PMID 30220912 DOI: 10.1186/S13036-018-0112-9 | 0.665 | |||
2018 | Dhoble AS, Lahiri P, Bhalerao KD. Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes Journal of Biological Engineering. 12: 19. DOI: https://doi.org/10.1186/s13036-018-0112-9 | 0.564 | |||
2018 | Dhoble AS, Lahiri P, Bhalerao KD. Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes Journal of Biological Engineering. 12: 19. DOI: 10.1186/s13036-018-0112-9 | 0.659 | |||
2016 | Dhoble AS, Bekal S, Dolatowski W, Yanz C, Lambert KN, Bhalerao KD. A novel high-throughput multi-parameter flow cytometry based method for monitoring and rapid characterization of microbiome dynamics in anaerobic systems. Bioresource Technology. 220: 566-571. PMID 27614579 DOI: 10.1016/J.Biortech.2016.08.076 | 0.622 | |||
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