Taimoor Akhtar
Taimoor Akhtar
Verified email at uoguelph.ca
Title
Cited by
Cited by
Year
Efficient hyperparameter optimization for deep learning algorithms using deterministic rbf surrogates
I Ilievski, T Akhtar, J Feng, C Shoemaker
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1072017
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker
Journal of Global Optimization 64 (1), 17-32, 2016
972016
SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
T Krityakierne, T Akhtar, CA Shoemaker
Journal of Global Optimization 66 (3), 417-437, 2016
272016
Hyperparameter optimization of deep neural networks using non-probabilistic RBF surrogate model
I Ilievski, T Akhtar, J Feng, CA Shoemaker
CoRR abs/1607.08316, 1-8, 2016
162016
Efficient multi-objective optimization through population-based parallel surrogate search
T Akhtar, CA Shoemaker
arXiv preprint arXiv:1903.02167, 2019
82019
Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE …
W Xia, C Shoemaker, T Akhtar, MT Nguyen
Environmental Modelling & Software 135, 104910, 2021
22021
Development of Asia Pacific Weather Statistics (APWS) dataset for use in Soil and Water Assessment Tool (SWAT) simulation
U Ghimire, T Akhtar, N Shrestha, P Daggupati
Earth System Science Data Discussions, 1-30, 2019
22019
Can-GLWS: Canadian Great Lakes Weather Service for the Soil and Water Assessment Tool (SWAT) modelling
NK Shrestha, T Akhtar, U Ghimire, RP Rudra, PK Goel, R Shukla, ...
Journal of Great Lakes Research 47 (1), 242-251, 2021
12021
Surrogate many objective optimization: Combining evolutionary search, -dominance and connected restarts
T Akhtar, CA Shoemaker, W Wang
World Congress on Global Optimization, 681-690, 2019
12019
An adaptive population-based candidate search algorithm with surrogates for global multi objective optimization of expensive functions
CA Shoemaker, T Akhtar
AIP Conference proceedings 2070 (1), 020047, 2019
12019
Applications of New Surrogate Global Optimization Algorithms including Efficient Synchronous and Asynchronous Parallelism for Calibration of Expensive Nonlinear Geophysical …
CA Shoemaker, M Pang, T Akhtar, D Bindel
AGU Fall Meeting Abstracts 2016, IN33A-1803, 2016
12016
Integrating epsilon-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems
W Wang, T Akhtar, CA Shoemaker
JOURNAL OF GLOBAL OPTIMIZATION, 2021
2021
Integrating ε -dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems
W Wang, T Akhtar, CA Shoemaker
Journal of Global Optimization, 1-28, 2021
2021
Water Security in Pakistan: Availability, Accessibility and Utilisation
T Akhtar, HF Khan, D Mustafa
Water Resources of Pakistan: Issues and Impacts 9, 57-78, 2021
2021
Pakistan’s Water Resources: Overview and Challenges
MA Watto, M Mitchell, T Akhtar
Water Resources of Pakistan: Issues and Impacts 9, 1-12, 2021
2021
Advancing model calibration and uncertainty analysis of SWAT models using cloud computing infrastructure: LCC-SWAT
M Zamani, NK Shrestha, T Akhtar, T Boston, P Daggupati
Journal of Hydroinformatics 23 (1), 1-15, 2021
2021
Drought monitoring and prediction in climate vulnerable Pakistan: Integrating hydrologic and meteorologic perspectives
T Akhtar, H Mushtaq, MZR Hashmi
Hydrology and Earth System Sciences Discussions, 1-29, 2020
2020
SOP-Hybrid: A Parallel Surrogate-Based Candidate Search Algorithm for Expensive Optimization on Large Parallel Clusters
T Akhtar, CA Shoemaker
World Congress on Global Optimization, 672-680, 2019
2019
Combining local surrogates and adaptive restarts for global optimization of moderately expensive functions
T Akhtar, CA Shoemaker
AIP Conference Proceedings 2070 (1), 020048, 2019
2019
Efficient Automatic Parameter analysis framework for Computationally Expensive Hydrodynamic models
W Xia, T Akhtar, CA Shoemaker, MT Nguyen
AGU Fall Meeting Abstracts 2018, H51O-1500, 2018
2018
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Articles 1–20