| Predicting wellbore dynamics in a steam-assisted gravity drainage system: numeric and semi-analytic model, and validation K Sivaramkrishnan, B Huang, AK Jana Applied Thermal Engineering 91, 679-686, 2015 | 23 | 2015 |
| Least squares-support vector regression for determining product concentrations in acid-catalyzed propylene oligomerization K Sivaramakrishnan, J Nie, A de Klerk, V Prasad Industrial & Engineering Chemistry Research 57 (39), 13156-13176, 2018 | 20 | 2018 |
| A review of automated and data-driven approaches for pathway determination and reaction monitoring in complex chemical systems A Puliyanda, K Srinivasan, K Sivaramakrishnan, V Prasad Digital Chemical Engineering 2, 100009, 2022 | 13 | 2022 |
| A perspective on the impact of process systems engineering on reaction engineering K Sivaramakrishnan, A Puliyanda, DT Tefera, A Ganesh, ... Industrial & Engineering Chemistry Research 58 (26), 11149-11163, 2019 | 13 | 2019 |
| A statistical approach dealing with multicollinearity among predictors in microfluidic reactor operation to control liquid-phase oxidation selectivity MN Siddiquee, K Sivaramakrishnan, Y Wu, A de Klerk, N Nazemifard Reaction Chemistry & Engineering 3 (6), 972-990, 2018 | 13 | 2018 |
| A data-driven approach to generate pseudo-reaction sequences for the thermal conversion of Athabasca bitumen K Sivaramakrishnan, A Puliyanda, A de Klerk, V Prasad Reaction Chemistry & Engineering 6 (3), 505-537, 2021 | 12 | 2021 |
| Data fusion by joint non-negative matrix factorization for hypothesizing pseudo-chemistry using Bayesian networks A Puliyanda, K Sivaramakrishnan, Z Li, A de Klerk, V Prasad Reaction Chemistry & Engineering 5 (9), 1719-1737, 2020 | 12 | 2020 |
| Chemoinformatic investigation of the chemistry of cellulose and lignin derivatives in hydrous pyrolysis F Sattari, D Tefera, K Sivaramakrishnan, SH Mushrif, V Prasad Industrial & Engineering Chemistry Research 59 (25), 11582-11595, 2020 | 11 | 2020 |
| Viscosity of Canadian oilsands bitumen and its modification by thermal conversion K Sivaramakrishnan, A de Klerk, V Prasad Chemistry Solutions to Challenges in the Petroleum Industry, 115-199, 2019 | 11 | 2019 |
| Prediction of thermogravimetric data in bromine captured from brominated flame retardants (BFRs) in e-waste treatment using machine learning approaches L Ali, K Sivaramakrishnan, MS Kuttiyathil, V Chandrasekaran, OH Ahmed, ... Journal of Chemical Information and Modeling 63 (8), 2305-2320, 2023 | 7 | 2023 |
| Structure-preserving joint non-negative tensor factorization to identify reaction pathways using Bayesian networks A Puliyanda, K Sivaramakrishnan, Z Li, A de Klerk, V Prasad Journal of Chemical Information and Modeling 61 (12), 5747-5762, 2021 | 7 | 2021 |
| Catalytic upgrading of pyrolytic bio-oil from Salicornia bigelovii seeds for use as jet fuels: Exploring the ex-situ deoxygenation capabilities of Ni/Ze catalyst MS Kuttiyathil, K Sivaramakrishnan, L Ali, T Shittu, MZ Iqbal, A Khaleel, ... Bioresource Technology Reports 22, 101437, 2023 | 6 | 2023 |
| Degradation of tetrabromobisphenol A (TBBA) with calcium hydroxide: a thermo-kinetic analysis L Ali, K Sivaramakrishnan, MS Kuttiyathil, V Chandrasekaran, OH Ahmed, ... RSC advances 13 (10), 6966-6982, 2023 | 5 | 2023 |
| Catalytic upgrading of bio-oil from halophyte seeds into transportation fuels L Ali, T Shittu, MS Kuttiyathil, A Alam, MZ Iqbal, A Khaleel, ... Journal of Bioresources and Bioproducts 8 (4), 444-460, 2023 | 2 | 2023 |
| Application of chemometric and experimental tools for monitoring processes of industrial importance K Sivaramakrishnan | 2 | 2019 |
| Partial hydrogenation of 1, 3-butadiene over nickel with alumina and niobium supported catalysts A Alabedkhalil, K Sivaramakrishnan, L Ali, T Shittu, MS Kuttiyathil, ... Arabian Journal of Chemistry 17 (1), 105406, 2024 | 1 | 2024 |
| Prediction of Thermogravimetric Data in the Thermal Recycling of e-waste Using Machine Learning Techniques: A Data-driven Approach L Ali, K Sivaramakrishnan, MS Kuttiyathil, V Chandrasekaran, OH Ahmed, ... ACS omega 8 (45), 43254-43270, 2023 | 1 | 2023 |
| Development of a High-Accuracy Statistical Model to Identify the Key Parameter for Methane Adsorption in Metal-Organic Frameworks K Sivaramakrishnan, E Mahmoud Analytica 3 (3), 335-370, 2022 | 1 | 2022 |
| Prediction of Thermogravimetric Data for Asphaltenes Extracted from Deasphalted Oil Using Machine Learning Techniques K Sivaramakrishnan, JH Tannous, V Chandrasekaran Industrial & Engineering Chemistry Research 62 (43), 17787-17804, 2023 | | 2023 |
| Application of Chemometric Methods to Generate Reaction Pathway Hypotheses for the Thermal Cracking of Athabasca Bitumen K Sivaramakrishnan, A Puliyanda, A De Klerk, V Prasad 2019 AIChE Annual Meeting, 2019 | | 2019 |
Vinay PrasadProfessor, Department of Chemical and Materials Engineering, University of AlbertaVerified email at ualberta.ca
