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Harshal Akolekar
Harshal Akolekar
Assistant Professor, IIT Jodhpur PhD @ UniMelb
Verified email at iitj.ac.in - Homepage
Title
Cited by
Cited by
Year
RANS turbulence model development using CFD-driven machine learning
Y Zhao, HD Akolekar, J Weatheritt, V Michelassi, RD Sandberg
Journal of Computational Physics 411, 109413, 2020
1832020
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
HD Akolekar, J Weatheritt, N Hutchins, RD Sandberg, G Laskowski, ...
Journal of Turbomachinery 141 (4), 2019
64*2019
Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions
HD Akolekar, RD Sandberg, N Hutchins, V Michelassi, G Laskowski
Journal of Turbomachinery 141 (10), 2019
28*2019
Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Low-Pressure Turbine Wake Mixing Prediction
HD Akolekar, Y Zhao, R Sandberg, R Pacciani
Journal of Turbomachinery 143 (12), 1-12, 2021
24*2021
Transition Modeling for Low Pressure Turbines Using Computational Fluid Dynamics Driven Machine Learning
HD Akolekar, F Waschkowski, Y Zhao, R Pacciani, RD Sandberg
Energies 14 (15), 4680, 2021
212021
Assessment of machine-learned turbulence models trained for improved wake-mixing in low-pressure turbine flows
R Pacciani, M Marconcini, F Bertini, S Rosa Taddei, E Spano, Y Zhao, ...
Energies 14 (24), 8327, 2021
82021
Turbulence Model Development for Low & High Pressure Turbines Using a Machine Learning Approach
HD Akolekar, Y Zhao, RD Sandberg, N Hutchins, V Michelassi
International Society of Air Breathing Engines, 2019
62019
ChatGPT--a Blessing or a Curse for Undergraduate Computer Science Students and Instructors?
I Joshi, R Budhiraja, H Dev, J Kadia, MO Ataullah, S Mitra, D Kumar, ...
SIGCSE 2024: Proceedings of the 55th ACM Technical Symposium on Computer …, 2024
5*2024
Turbulence Model Development and Implementation for Low Pressure Turbines Using a Machine Learning Approach
HD Akolekar
University of Melbourne, 2019
52019
Development of a Simulation Program to Optimise Process Parameters of Steam Power Cycles
HD Akolekar, P Srinivasan, JS Challa
International Journal of Thermal & Environmental Engineering 8 (1), 55-61, 2014
52014
" With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education
I Joshi, R Budhiraja, PD Tanna, L Jain, M Deshpande, A Srivastava, ...
arXiv e-prints, arXiv: 2309.10694, 2023
3*2023
It's not like Jarvis, but it's pretty close!” - Examining ChatGPT's Usage among Undergraduate Students in Computer Science
R Budhiraja, I Joshi, JS Challa, HD Akolekar, D Kumar
Proceedings of the 26th Australasian Computing Education Conference, 124-133, 2024
12024
Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines
HD Akolekar, F Waschkowski, R Pacciani, Y Zhao, RD Sandberg
Turbo Expo: Power for Land, Sea, and Air 86113, V10CT32A013, 2022
12022
CFD-Based Boundary Layer Prediction of Axisymmetric Bodies of Revolution
H Akolekar, D Pook, D Ranmuthugala
Australasian Fluid Mechanics Conference, 2020
12020
Machine-learning based optimization of a biomimiced herringbone microstructure for superior aerodynamic performance
RS Patel, HD Akolekar
Engineering Research Express 5 (4), 045065, 2023
2023
A Data-Driven Approach for Generalizing the Laminar Kinetic Energy Model for Separation and Bypass Transition in Low-and High-Pressure Turbines
Y Fang, Y Zhao, HD Akolekar, ASH Ooi, RD Sandberg, R Pacciani, ...
Turbo Expo: Power for Land, Sea, and Air 87103, V13CT32A025, 2023
2023
CFD-ready Turbulence Models from Gene Expression Programming: Concepts
Y Zhao, HD Akolekar, RD Sandberg
APS Division of Fluid Dynamics Meeting Abstracts, G17. 003, 2019
2019
Understanding loss mechanisms in turbomachinery to increase efficiency
HD Akolekar
University of Melbourne, 2016
2016
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