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Saba Daneshgar
Saba Daneshgar
Postdoctoral Researcher, BIOMATH
Verified email at ugent.be
Title
Cited by
Cited by
Year
The potential phosphorus crisis: resource conservation and possible escape technologies: a review
S Daneshgar, A Callegari, AG Capodaglio, D Vaccari
Resources 7 (2), 37, 2018
3072018
Combined sewer overflows: A critical review on best practice and innovative solutions to mitigate impacts on environment and human health
A Botturi, EG Ozbayram, K Tondera, NI Gilbert, P Rouault, N Caradot, ...
Critical Reviews in Environmental Science and Technology 51 (15), 1585-1618, 2021
952021
Impact of pH and ionic molar ratios on phosphorous forms precipitation and recovery from different wastewater sludges
S Daneshgar, A Buttafava, D Capsoni, A Callegari, AG Capodaglio
Resources 7 (4), 71, 2018
732018
Economic and energetic assessment of different phosphorus recovery options from aerobic sludge
S Daneshgar, A Buttafava, A Callegari, AG Capodaglio
Journal of Cleaner Production 223, 729-738, 2019
592019
Holistic approach to phosphorus recovery from urban wastewater: Enhanced biological removal combined with precipitation
MC Tomei, V Stazi, S Daneshgar, AG Capodaglio
Sustainability 12 (2), 575, 2020
552020
Optimization of P compounds recovery from aerobic sludge by chemical modeling and response surface methodology combination
S Daneshgar, PA Vanrolleghem, C Vaneeckhaute, A Buttafava, ...
Science of the total environment 668, 668-677, 2019
532019
The transition of WRRF models to digital twin applications
E Torfs, N Nicolaï, S Daneshgar, JB Copp, H Haimi, D Ikumi, B Johnson, ...
Water Science and Technology 85 (10), 2840-2853, 2022
262022
Simulations and laboratory tests for assessing phosphorus recovery efficiency from sewage sludge
S Daneshgar, A Buttafava, A Callegari, AG Capodaglio
Resources 7 (3), 54, 2018
242018
Improved process understanding and optimization by multivariate statistical analysis of Microbial Fuel Cells operation
D Cecconet, S Bolognesi, S Daneshgar, A Callegari, AG Capodaglio
International Journal of Hydrogen Energy 43 (34), 16719-16727, 2018
182018
An innovative compact system for advanced treatment of combined sewer overflows (CSOs) discharged into large lakes: Pilot-scale validation
A Botturi, S Daneshgar, A Cordioli, A Foglia, AL Eusebi, F Fatone
Journal of environmental management 256, 109937, 2020
152020
Transition-Metal-Catalyzed Synthesis of Organophosphorus Compounds Involving P–P Bond Cleavage
M Arisawa
Synthesis 52 (19), 2795-2806, 2020
132020
The Potential Phosphorus Crisis: Resource Conservation and Possible Escape Technologies: A Review. Resources. no. 7, 37 p
S Daneshgar, A Callegari, A Capodaglio, D Vaccari
92018
Side-stream phosphorus recovery in activated sludge processes
S Daneshgar, D Cecconet, D Capsoni, AG Capodaglio
Water 14 (12), 1861, 2022
72022
Remote sensing observations for monitoring coastal zones: Volturno river mouth case study
S DANESHGAR
Italy, 2015
42015
Next-generation compartmental models for applications in Digital Twinning of WRRFs
S Borzooei, S Daneshgar, E Torfs, U Rehman, S Duchi, R Peeters, ...
Engineering Archive, 2023
12023
LESSWATT model-based protocol for mitigation of N2O emissions
S Daneshgar, I Nopens, Y Amerlinck, A Amaral, C De Mulder, A Di Nisio, ...
5th IWA Specialized International Conference: Ecotechnologies for Wastewater …, 2021
12021
Erratum: Daneshgar, S., et al. Simulations and Laboratory Tests for Assessing Phosphorus Recovery Efficiency from Sewage Sludge, Resources 2018, 7, 54
S Daneshgar, A Buttafava, A Callegari, AG Capodaglio
Resources 8 (1), 40, 2019
12019
A full‐scale operational digital twin for a water resource recovery facility—A case study of Eindhoven Water Resource Recovery Facility
S Daneshgar, F Polesel, S Borzooei, HR Sørensen, R Peeters, S Weijers, ...
Water Environment Research 96 (3), e11016, 2024
2024
An innovative model-based protocol for minimisation of greenhouse gas (GHG) emissions in WRRFs
S Daneshgar, Y Amerlinck, A Amaral, C De Mulder, A Di Nisio, G Bellandi, ...
Chemical Engineering Journal 483, 148327, 2024
2024
Prediction of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer Learning
S Borzooei, L Scabini, G Miranda, S Daneshgar, L Deblieck, P De Langhe, ...
arXiv preprint arXiv:2402.09367, 2024
2024
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Articles 1–20