1. Books

A.Revil and A. Jardani., 2012. The self potential Method: Theory and Applications in Environmental Geophysics. Cambridge University Press. ISBN:9781107019270.

 A.Revil, A. Jardani, P. Sava and A. Haas., 2013. The Seismoelectric Method Theory and Applications. Wiley-Blackwell, ISBN: 978-1-118-66026-3

2. Peer-reviewed Publications:

[80]  VU and A. Jardani, 2023,  Hydraulic tomography inversion: comparison of deterministic and deep learning algorithms for the HYDROSCAN observatory site. Submitted in Journal of Hydrology 

[79] I Janbain  ,  A Jardani,   Julien Deloffre , N. Massei, 2024, Deep Learning-Based Approaches with Custom Loss Function for Extreme Flood Event Prediction: A Case Study in the Seine River Basin, France., Submitted in Journal of Hydrology 

 [78]  SKR Chidepudi,  N. Massei, A. Jardani,  A.Henriot,  B. Dieppois, M. Fournier: Training deep learning models with a multi-station approach and static aquifer attributes for groundwater level simulation: what’s the best way to leverage regionalised information?, Submitted in journal of hydrology

[77] Vu, M.T., Jardani, A., Krimissa, M., Zaoui, F. and Massei, N., 2023. Large-scale seasonal forecasts of river discharge by coupling local and global datasets with a stacked neural network: Case for the Loire River system. Science of The Total Environment, 897, p.165494. 

[76] SKR Chidepudi, N Massei, A Jardani, A Henriot, 2023, Groundwater level reconstruction using long-term climate reanalysis data and deep neural networks; Journal of Hydrology: Regional Studies 51, 101632

[75] Janbain I , A. Jardani, J. Deloffre, N. Massei, 2023: Application of deep learning approaches for numerical modeling and historical reconstruction of water quality parameters in the lower Seine. Water

[74]  VU and A. Jardani, 2021, Multitasking neural network to jointly map discrete fracture structures and matrix transmissivity by inverting hydraulic data acquired in fractured aquifers. XNET-Fracture.   Journal of Hydrology

[73] Janbain I , J. Deloffre, A. Jardani , Tan Minh Vu  and N. Massei: Use of Long-Short Term Memory network (LSTM) in the reconstruction of missing water level data in the Seine River., submitted Water.

[72] SKR Chidepudi, N Massei, A Jardani, A Henriot, D Allier, L Baulon:  A wavelet-assisted deep learning approach for simulating groundwater levels affected by low-frequency variability. Science of The Total Environment 865, 161035

[71]  VU and A. Jardani, 2021, Multi-task neural network in hydrological tomography to map the transmissivity and storativity simultaneously: XNET-TS .  submitted for Journal of Hydrology

[70]  VU and A. Jardani, 2021, Mapping of hydraulic transmissivity field from inversion of tracer test data using convolutional neural networks. CNN-2T.  submitted for Journal of Hydrology

[69]  VU and A. Jardani, 2021, Mapping discrete fracture networks using inversion of hydraulic tomography data with Convolutional Neural Network. SegNet-Fractures.  submitted for Journal of Hydrology

 [68]  P. Fischer, A. Jardani, 2021,  Characterization of Unconfined Aquifers with Oscillatory Excitations: A Numerical Analysis. Journal of Hydrology.

[67]  A. Jardani, M.T. Vu , P. Fischer,  2020,  Use of Convolutional Neural Networks with encoder-decoder structure for predicting the inverse operator in hydraulic tomography: CNN-HT, submitted for Journal: Advances in Water Resources.

[66] M.T. Vu , A. Jardani, N. Massei, M Fournier, 2020,Reconstruction of missing groundwater level data by using Long Short-Term Memory (LSTM) deep neural network,  Journal of Hydrology, 2020, 

[65] M.T. Vu , A. Jardani: 2020, Convolutional neural networks with SegNet architecture applied to three-dimensional tomography of subsurface electrical resistivity. CNN-ERT" , submitted for Geophysical journal Int. 

[64] *P. Fischer , A. Jardani ,Krimissa, Couegneas, 2020: Hydraulic Characterization of a Highly Anthropized Coastal Aquifer Subject to Tidal Fluctuations. Hydrogeology Journal 

[63] A. Hamdi and A.  Jardani, 2020: Reconstruction of unknown storativity and transmissivity functions in 2D groundwater equations.  Inverse Problems in Science & Engineering 

[62] *.  De-clercq, A. Jardani et al., 2020: The use of electrical resistivity tomograms as a parameterization for the hydraulic characterization of a contaminated aquifer. Journal of Hydrology. 

[61] *. M.T. Vu , A. Jardani , A. Revil, M. Jessop, 2019: Magnetometric resistivity tomography using chaos polynomial expansion, submitted for Geophysical journal Int. 

[60] *. P. Fischer , A. Jardani , H. Jourde, 2020:  Hydraulic Tomography in Coupled Discrete-Continuum  concept to image hydraulic properties of a Fractured and Karstified aquifer (Lez Aquifer, France),   Advances in Water Resources,

[59] *.P. Fischer , De Clercq, A. Jardani , L. Thannberger, N. Massei, M. Abbas, 2019:Imaging the Hydraulic Properties of a Contaminated Alluvial Aquifer Perturbed with Periodic Signals, submitted for Water Resources Research

[58] *. M.T. Vu , A. Jardani , M. Krimissa , P. Fischer , N. Ahfir, 2019: Hydraulic tomography in time-lapse mode for tracking the clogging effects associated with the colloid injection, Advances in Water Resources, https://doi.org/10.1016/j.advwatres.2019.103424

[57]. Z, Wang, X, Hao, Y, T. Wang, Jardani A., H. Jourde, T-C, J. Yeh, 2019: Groundwater response to tidal fluctuations in a leaky confined coastal aquifer with a finite length. Hydrological Processes. 2019. https://doi.org/10.1002/hyp.13529

[56]. Gaillardet, J., et al. 2018. OZCAR: The French network of critical zone observatories. Vadose Zone J. 17:180067. doi:10.2136/vzj 2018.04.0067.

[55 ].Jourde et al. 2018: SNO KARST: A French network of observatories for the multidisciplinary study of critical zone processes in karst watersheds and aquifers. Vadose Zone J. 17:180094. doi:10.2136/vzj2018.04.0094

[54]. A. Soueid Ahmed, A. Revil, B. Steck, C. Vergniault, A. Jardani, G. Vinceslas, 2019: Self-potential signals associated with localized leaks in embankment dams and dikes. Engineering Geology, 253 (2019) 229–239

[53] *. P. Fischer , A. Jardani , H. Jourde , M. Cardiffc , X. Wang , S. Chedeville , N. Lecoq, 2018, Harmonic pumping tomography applied to image the hydraulic properties and interpret the connectivity of a karstic and fractured aquifer (Lez aquifer, France). Advances in Water Resources, 119, 2018

[52]. M. Jessop, A. Jardani, A. Revil, and V. Kofoed, 2018, Magnetometric resistivity: a new approach and its application to the detection of preferential flow paths in mine waste rock dumps, Geophysical Journal International, 215, 1, 222–239, 2018.

[51]*. P. Fischer, A. Jardani, M. Cardiff, H. Jourde, N. Lecoq, 2018: Hydraulic Analysis of Harmonic Pumping Tests in Frequency and Time Domains for Identifying the Conduits Networks in a Karstic Aquifer.  Journal of Hydrology, 

[50]*. P. Fischer, A. Jardani, N. Lecoq, 2017, Hydraulic Tomography of the Discrete Fracture Network by using a Deterministic Inversion Algorithm,  Advances in Water Resources, 112, 83-94.

[49]. A. Soueid, A. Revil , A. Jardani, C. Rujun, 2017: 3D geostatistical inversion of induced polarization data, Geophysics, 83, 3

[48]*. P. Fischer, A. Jardani, X. Wang, H. Jourde, N. Lecoq, 2017. Identifying Flow Networks in a Karstified Aquifer by Application of the Cellular Automata-based Deterministic Inversion Method (Lez Aquifer, France), Water Resources Research, 2017, 53 (12), 10508-10522

[47]*. M. Abbas, A. Jardani, A. Soueid Ahmed, L. Brigaud, 2017: Redox potential distribution of an organic-rich contaminated site obtained by the inversion of self-potential data, Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2017.08.053

[46].X. Wanga, A. Jardani, H.Jourde, 2017: A hybrid inverse method for hydraulic tomography in fractured and karstic media, Journal of Hydrology 551 (2017) 29–46.

[45]*. M. Abbas; A. Jardani; J.P. Dupont; N. Machour, 2017: An Application of Different Geophysical Methods for the Characterization of a Hydrocarbon Contaminated Site. Near Surface Geophysics, 2017.

[44]. Revil, A., Ahmed, A.S., and Jardani, A., 2017. Self-Potential: A Non-Intrusive Ground Water Flow Sensor. Journal of Environmental and Engineering Geophysics, 22(3).

[43]*. P. Fischer, A. Jardani, N. Lecoq, 2016: A Cellular Automata-based Deterministic Inversion Algorithm for the Characterization of Linear Structural Heterogeneities. Water Resources Research, 53, 2016–2034, doi:10.1002/2016WR019572.

[42]*. A. Soueid, A. Jardani, A. Revil, and J.P. Dupont, 2016: Joint inversion of hydraulic head and self-potential data associated with harmonic pumping tests. Water Resources Research, 52, doi: 10.1002/2016WR019058.

[41]*. P. Fischer, A. Jardani, Soueid Ahmed, A., Abbas, M., Wang, X., Jourde, H. and Lecoq, N. 2016:  Application of Large-Scale Inversion Algorithms to Hydraulic Tomography in an Alluvial Aquifer. Groundwater. doi:10.1111/gwat.12457.

[40] *. A .Djibrilla Saley, A. Jardani, A. Soueid Ahmed, A. Raphael, J.P. Dupont., 2016: Hamiltonian Monte Carlo algorithm for the characterization of hydraulic conductivity from the heat tracing data. Advances in Water Resources, Volume 97, November 2016, Pages 120–129.

[39] *. Soueid Ahmed, A, A. Jardani, A. Revil, J.P. Dupont, 2016 . Specific storage and hydraulic conductivity tomography through the joint inversion of hydraulic heads and self-potential data. Advances in Water Resources. Volume 89, March 2016, Pages 80–90.

[38]. Zhou, J, A. Revil, and A. Jardani, 2016: Stochastic structure-constrained image-guided inversion of geophysical data. Geophysics, Vol. 81, No. 2, pp. E51-E63, doi: 10.1190/geo2014-0569.1.

[37]. Wang, X, A. Jardani, H. Jourde, L. Lonergan, J. Cosgrove, O. Gosselin and G, Massonnat, 2016: Characterisation of the transmissivity field of a fractured and karstic aquifer, Southern France. Advances in Water Resources, Volume: 87, Pages: 106-121.

[36]*. A. Soueid; A. Jardani, and Revil, A.; 2015: HT2DINV: A 2D forward and inverse code for steady-state and transient hydraulic tomography problems. Computers & Geosciences, Volume: 85  Pages: 36-44 

[35]*. A . Soueid, J. Zhou, A. Jardani, A. Revil, and J.P. Dupont, 2015: Image-guided inversion in hydraulic tomography. Advances in Water Resources, 82, 83-97, doi : 10.1016/j.advwatres.2015.04.001, 2015.

[34]. Ikard, S. J.; Revil, A.; Schmutz, M.; Karaoulis M, Jardani A, Mooney M, 2014: Characterization of Focused Seepage Through an Earthfill Dam Using Geoelectrical Methods. Groundwater, Volume: 52, Issue: 6, Pages: 952-965. 

[33]. S. Taoudiat, N-D. Ahfir, H-Q. Wang, A. Jardani, J-P. Dupont, 2014, Geomechanics from Micro to Macro, Chapter 239. Self-potential method applied to the characterization of a clogged porous medium, Edited by Kenichi Soga, Krishna Kumar, Giovanna Biscontin, and Matthew Kuo, CRC Press 2014, Print ISBN: 978-1-138-02707-7, eBook ISBN: 978-1-315-73732-4.

[32]. Jardani, A and A. Revil, 2014: Seismoelectric couplings in a poroelastic material containing two immiscible fluid phases. Geophysical Journal International. 202 (2): 850-870.doi: 10.1093/gji/ggv176.

[31]*. Soueid. A, A. Jardani, A. Revil, and J.P. Dupont, 2014: Hydraulic conductivity field characterization from the joint inversion of hydraulic heads and self-potential data. Water Resources Research., 50, 3502–3522, doi:10.1002/2013WR014645.

[30]. Revil, A, G. Barnier, M. Karaoulis, P. Sava, A. Jardani and B. Kulessa, 2013: seismoelectric coupling in unsaturated porous media: theory,petrophysics, and saturation front localization using an electroacoustic approach. Geophyical Journal International. Vol: 196 (2), Pages: 867-884.

[29]. Jardani, A., A. Revil, and J.P. Dupont, 2013: Stochastic joint inversion of hydrogeophysical data for salt tracer test monitoring and hydraulic conductivity imaging. Advances in Water Resources, 52, 62-77, doi: 10.1016/j.advwatres.2012.08.005, 2013.

[28]*. Soueid Ahmed, A. Jardani, A. Revil, and J.P Dupont, 2013: SP2DINV: A 2D forward and inverse code for streaming potential problems. Computers & Geosciences, Vol: 59, Pages 9-16.

[27]. Mahardika H., A. Revil, and A. Jardani, 2012: Waveform joint inversion of seismograms and electrograms for moment tensor characterization of fracking events .Geophysics, 77(5), ID23-ID39, doi: 10.1190/GEO2012-0019.1.

[26]. Jardani, A, J.P. Dupont, A. Revil, N. Massei, M. Fournier and B. Laignel, 2012 : Geostatistical inverse modeling of the transmissivity field of a heterogeneous alluvial aquifer under tidal influence. Journal of Hydrology, 472-473, P287-300.

[25]. Revil, A., E. Atekwana, C. Zhang, A. Jardani, and S. Smith, 2012: A new model for the spectral induced polarization signature of bacterial growth in porous media. Water Resources Research, 48, W09545,doi:10.1029/2012WR011965.

[24]. Ikard, S. J., A. Revil, A. Jardani, W. F. Woodruff, M. Parekh, and M. Mooney, 2012: Saline pulse test monitoring with the self-potential method to nonintrusively determine the velocity of the pore water in leaking areas of earth dams and embankments. Water Resources Research, 48, W04201, doi:10.1029/2010WR010247.

[23]*. Araji, A., A. Revil, A. Jardani, B. Minsely and Karaoulis, M, 2012: Imaging with cross-hole seismoelectric tomography. Geophysical. Journal. International, 188, 1285-1302, doi: 10.1111/j.1365-246X.2011.05325.x.

[22].  M. Karaoulis, A. Revil, Jardani A., 2012, Time-lapse cross-well seismoelectricl tomography. FastTimes v16(4):13-24.

[21]. Revil, A. and A. Jardani et al., 2011: Non-intrusive estimate of the flow rate of thermal water along tectonic faults in geothermal fields using the self-potential method. FastTIMES, v16(4):13-24. 

[20]. Revil, A and A, Jardani, 2010: Stochastic inversion of permeability and dispersivities from time lapse self-potential measurements: a controlled sandbox study. Geophysical Research Letters. 37, L11404, doi:10.1029/2010GL043257.

[19]. Richards, K; Revil, A; Jardani, A; Henderson, F; Batzle, M and Haas, A., 2010: Pattern of shallow ground water flow at Mount Princeton Hot Springs, Colorado, using geoelectrical methods. Journal of Volcanology And Geothermal Research; Vol: 198, 1-2, Pages: 217-232, doi:10.1016/j.jvolgeores.2010.09.001.

[18].Woodruff, WF; Revil, A; Jardani, A; Nummedal, D and Cumella, S. 2010: Stochastic Bayesian inversion of borehole self-potential measurements. Geophysical Journal International. Vol: 183, 2, 748-764, doi 10.1111/j.1365-246X.2010.04770.

[17]. Martínez-Pagán, P., Jardani, A. Revil, and A. Haas, 2010: Self-potential monitoring of a salt plume: A sandbox experiment. Geophysics. Volume: 75, (4), Pages: WA17-WA25.

[16]. Jardani, A. Revil, E. Slob and W. Sollner, 2009: Stochastic joint inversion of seismic and seismoelectric signals in poroelastic materials. Geophysics. Vol: 75, (1), Pages: N19-N31. 

[15]. Revil, A and A. Jardani, 2009: Seismoelectric response of a charged rock saturated by a viscoelastic solvent. Theory. Geophysical Journal International. doi: 10.1111/j.1365-246X.2009.04439.x. 

[14]. Jardani, A. and A. Revil, 2009: Stochastic joint inversion Joint inversion of temperature and self-potential data. Geophysical Journal International, doi: 10.1111/j.1365-246X.2009.04295.x.

[13]. Revil A., F., Trolard, G. Bourrié, J. Castermant, A. Jardani, and C.A. Mendonça, 2009: Ionic contribution to the self-potential signals associated with a redox front. Journal of Contaminant Hydrology, 109, 27-39.

[12]. Vandemeulebrouck, J.,P. Roux, P. Gouédard , A. Legaz , A. Revil , A.W. Hurst , A. Bolève, A. Jardani, 2009 : Application of acoustic noise and self-potential localization techniques to a buried hydrothermal vent (Waimangu Old Geyser site, New-Zealand). Geophysical Journal International, 180: 883–890. doi: 10.1111/j.1365-246X.2009.04454.x. 

[11]. Jardani. A, A. Revil, W. Barrash, and A. Crespy, 2009: Reconstruction of the Water Table from Self-Potential Data: A Bayesian Approach. Ground water., 47(2):213-27, doi: 10.1111/j.1745-6584.2008.00513.x.

[10]. Jardani. A, A. Revil, A. Bolève , and J.P. Dupont, 2008 : Pattern of groundwater flow inferred from the three-dimensional inversion of self potential data and application to geothermal fields. Journal of Geophysical Research., 113, B09204, doi:10.1029/2007JB005302.

[9]. Crespy, A., A. Revil, N. Linde, S. Byrdina, A. Jardani, A. Bolève, and P. Henry, 2008 : Detection and localization of hydromechanical distrubances in a sandbox using self potential method. Journal of Geophysical Research, 113, B01205, doi: 10.1029/2007JB005042.

[8]. Revil, A., A. Jardani, and J. P. Dupont, 2007: Reply to comment by D. Gibert on Self-potential signals associated with preferential groundwater flow pathways in sinkholes. Journal of Geophysical Research., 113, B03205, doi:10.1029/2007JB005396.

[7]. Bolève, A., A. Revil, F. Janod, J. L. Mattiuzzo and A. Jardani, 2007: A new formulation to compute self-potential signals associated with ground water flow; Hydrol. Earth Syst. Sci., 11, 1-11, 2007. 

[6]. Bhattacharya, B, B. Shalivahan, A. Jardani and A. Bera, 2007 : Three - dimensional probability tomography of self-potential anomalies of graphite and sulphide mineralization in Orissa and Rajasthan, India; Near Surface Geophysics, 5 (4), 223-230.

[5]. Jardani. A, A. Revil ,A. Boleve, A. Crespy, J-P.Dupont , W. Barrash and B. Malama 2007: Tomography of the Darcy velocity from self‐potential measurements. Geophysical Research Letters., 34, L24403,.doi:10.1029/2007GL031907.

[4]. Jardani. A, A. Revil, F. Santos, C. Fauchard, and J.P. Dupont, 2007: Detection of preferential infiltration pathways in sinkholes using joint inversion of self potential and EM34 conductivity data. Geophysical Prospecting, 55, 1-11, doi: 10.1111/j.1365-2478.2007.00638.x, p.749-760.

[3]. Jardani. A, A. Revil and J.P. Dupont, 2006: Self-potential Tomography applied to the determination of cavities. Geophysical Research Letters, 33, L13401, doi: 10.1029/2006GL026028.

[2]. Jardani. A, Revil, A., Akoa, F, Schmutz, M, Florsch, N and J.P Dupont, 2006: Least squares inversion of self-potential (SP) data and application to the shallow flow of ground water in sinkholes, Normandy (France). Geophysical Research Letters, VOL. 33, L19306, doi:10.1029/2006GL027458.

[1]. Jardani. A, J.P. Dupont, and A. Revil, 2006: Self-potential signals associated with preferential groundwater flow pathways in sinkholes. Journal Geophysical Research, VOL. 111, B09204, doi:10.1029/2005JB004231. 

3. Reports 

 [B2]. A. Jardani & JP dupont, 2012: Forçage hydrologiques des aquifers du remplissage estuarien: un atelier expérimental pilote pour la prévision de l’influence des changements climatiques sur le fonctionnement hydrologique des zones humides. Report for GIP Seine Aval.

[B1]. Fritier N, Massei, N, Jardani A, Hannah, D.M, Mouhri , dellofre, Laignel, B and Dupont JP, Projet d’étude des réservoirs hydrologiques sous influence climatique en estuaire de seine. Report for GIP Seine Aval.

4. Workshops, Scientific Meetings, Invited Talks

4. 1. Invited Talks

 [5]. Jardani, A, Soueid Ahmed, A. Revil, J.P. Dupont. (2013). Hydraulic conductivity field characterization from the joint inversion of hydraulic heads and self-potential data. (Invited) Fall Meeting, AGU, San Francisco, Calif., 9-2013 Dec.

[4]. Jardani, A and A. Revil, (2014). Seismoelectric couplings in a poroelastic material containing two immiscible fluid phases. (Invited) Fall Meeting, AGU, San Francisco, Calif., 9-2014 Dec.

[3]. Jardani A, (2013). Les nouvelles approches de l’imagerie hydrogéophysique, (invited), Dpt of the Hydrogeology, University of Cadi Ayyad, Morocco)

[2].Jardani A, (2015). Tomographie hydrogéophysique, modélisation inverse et approches géostatistiques pour la caractérisation des propriétés hydrodynamiques. (Invited), Workshop SNO KARST, Hydrosciences, Montpellier.

[1]. Jardani A, (2017). Méthodes géoélectriques en hydrogéophysique : théorie et applications. , seminar, Université de Rennes1

 4. 2. Workshops, Scientific Meetings

[26]. Jardani, A., J.P. Dupont, et A. Revil, (2006). Self-potential signals associated with preferential ground water flow pathways in sinkholes, Darcy-52, Darcy 2006 International Symposium Topic, Présentation orale, 31 Mai 2006, Dijon, France.

[25]. Revil A., A. Bolève, A. Jardani, et F. Janod, (2006). The self-potential method applied to the study of leakage and ground water flow: petrophysics, case studies, forward and inverse modeling, in the Workshop "European Club of ICOLD WG Internal erosion", Présentation orale, 11-12 Septembre 2006, Stockholm, Suède.

[24]. Jardani A., J.P. Dupont, et A. Revil, (2006). Self-potential signals associated with preferential ground water flow pathways in sinkholes, Workshop "Gestion Intégrée des Ressources en Eaux et Défis du Développement Durable" organisé par le Comité Marocain – Association Internationale des Hydrogéologues (CM-AIH), Présentation orale, 23-25 Mai 2006, Marrakech, Maroc.

[23]. Crespy, A., A. Revil, N. Linde, S. Byrdina, A. Jardani, A. Bolève, and P. Henry, 2007 : Detection and localization of hydromechanical distrubances in a sandbox using self potential method; Eos Trans. AGU, 88(52), Fall Meet. Suppl., Abstract H23C-1510

[22]. Ball, L, Jardani. A, Ge. S, Revil. A, and Caine. J, (2008), Coupled Modeling of Self Potential and Groundwater Flow to Estimate Permeability Structure of the Elkhorn Fault, South Park, Colorado AGU, Saint Francisco, poster, December, 2008

[21]. Revil. A, and Jardani, A, (2008), Stochastic joint inversion of temperature and self-potential data to determine the permeability of geological units in sedimentary basins AGU, Saint Francisco, Talk, December, 2008.

[20]. Jardani. A, and Revil A. (2008), Pattern of groundwater flow inferred from the threedimensional inversion of self potential data and application to geothermal fields, using Comsol and matlab,  Colorado School of mines. Workshoop ‘Comsol’.

[19]. Revil, A. and A. Jardani. (2007). Tomography of ground water flow from self-potential data, Paper Number: NS13A-05, Presentation Type – Talk, Monday, 10 December, MW3005, Starting Time: 13:40, AGU Fall meeting, 9-14th December 2007, San Francisco, Etats-Unis.

[18]. Revil. A, and Jardani, A (2009):Tracking Fluid Flow at All Scales Using Self-Potential Tomography,AAGEP, Denver, Poster, December, 2009.

[17]. Jougnot.D, Jardani, A, Revil.A,Ghorbani.A, Lu.N:Understanding Two-Phase Flow in Clay-Rich Formations: from the Molecular Scale to the Macroscopic Scale and beyond,AAGEP, Denver, Poster, December, 2009.

[16]. Araji, A. Revil, A. Jardani, and B.Minsley. (2010), A Numerical Investigation of Cross-Hole Seismoelectric Conversion, NS41B-1512 presented at 2010 Fall Meeting, AGU, San Francisco, Calif., 13-17 Dec.

[15]. A Jardani, A Revil., (2009). Stochastic joint inversion of 2D seismic and seismoelectric signals for reservoir characterization; 2009 SEG Annual Meeting, 2009.

[14]. AH Araji, A Revil, A Jardani, BJ Minsley., (2010). A numerical investigation of cross-hole seismoelectric conversion. 2010 SEG Annual Meeting

[13]. Revil, Mahardika H. and Jardani A, (2011). Forward and inverse modeling of the seismic and electromagnetic disturbances associated with localized seismic sources in volcanic areas. AGU, Saint Francisco, Talk, December, 2011.

[12]. Araji, H., A. Revil, A. Jardani, and B.Minsley (2011): Imaging using cross‐hole seismoelectric tomography. SEG Expanded Abstracts 30, 469 (2011); http://dx.doi.org/10.1190/1.3628124 (5 pages).

[11]. Batzle, M.; Revil, André; van Wijk, Kasper; Liberty, Lee M.; Raynolds, R.; Blum, Thomas E.; Lamb, A.; Richards, K.; Hass, A.; Jardani. A.; and Henderson, F. (2011). "Geophysical Assessment of the Mount Princeton Geothermal Area, Colorado". SME Annual Meeting and Exhibit and CMA 113th National Western Mining Conference 2011, February 28-March 2, Denver, CO.

[10]. Zhang, C, Revil, A, Atekwana, E A, Jardani, A, Smith, S, (2012), A new model for the spectral induced polarization signature of bacterial growth in porous media, Abstract B11A-0405 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec.

[9]. Revil A, A. Jardani and Dupont (2012), Stochastic joint inversion of geoelectrical cross-well data for salt tracer test monitoring to image the hydraulic conductivity field of heterogenous aquifers (Invited), Abstract H11K-01 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec.

[8]. Revil A, Karaoulis M and Jardani A., (2013). Complex electrical conductivity model, influence of surface conductivity and new strategies for the inversion of resistivity and induced polarization data (Invited), NS31B-01 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec..

[7]. Souied A, A. Jardani and Revil (2013), T A 2D forward and inverse code for streaming potential problems , Abstract NS33A-1672 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec.

[6]. Jardani, A (2013). Les méthodes géoelctriques appliquées à l’hydrogéologie de subsurface. 6 éme Colloque Maghrébin de géophysique Appliquée, Meknès Maroc.

[5]. Taoudiat, S; Ahfir,N; Jardani, A; Wang, H; Dupont, JP, (2013). Caractérisation d'un milieu poreux colmaté par la méthode du potentiel spontané.  AFM, Maison de la Mécanique.

[4]. S Taoudiat, ND. Ahfir, A. Jardani, H. Wang and JP. Dupont, (2013). Caractérisation d'un milieu poreux colmaté par la méthode du potentiel spontané. 21ème Congrès Français de Mécanique, 26 au 30 août 2013, Bordeaux, France (FR).

[3]. Revil, A, Barnier, G., Sava, P.C., Jardani, A., Kulessa, B., (2014), Seismoelectric coupling in partially water-saturated porous media: From the theory to the detection of saturation fronts, AGU 2014 Fall Meeting, San Francisco, CA.

[2]. N Massei, LP Duran, M Fournier, A Jardani, N Lecoq, (2015). What can hydrological time series variations tell about karst dynamics?. A coupled statistical/conceptual modeling analysis. AGU Fall Meeting Abstracts, 2015.

[1]. Duran, L, A Jardani, M Fournier, N Massei,(2015). Geological modeling and infiltration pattern of a karstic system based upon crossed geophysical methods and image-guided inversion. EGU General Assembly Conference Abstracts 17, 927.