Teaching

GPC 99102/ GPC25101:Geophysical Inversion
GPC 23102:Electromagnetic Method
GPC 51201: Petroleum Exploration & Geophysics Geophysical Modelling
GPC 90101/ GPE26105:Environmental Geophysics
GPC 93101: Earth and Planetary System
GPC 26201: Near Surface Geophysics: Hydrology
GPE 51107: Geohydrology
GPC 98102/GPC24102: Geophysical Signal Processing
GPC 98106: Signal Processing
GPD 523/GPO503: Artificial Intelligence and Machine Learning in Geosciences
GPC532:Hydrology
GPD 521:Time Series Analysis in Geosciences

Academics

2003-2009 Ph.D (Geophysics), CSIR-National Geophysical Research Institute [CSIR-NGRI], Osmania

University, Hyderabad, India.

PhD Thesis: Application of neural network and Walsh transform techniques for identification of rock

boundary from the KTB bore hole data. http://dx.doi.org/10.1190/1.3447983,

Supervisor: Dr. R. K. Tiwari, Raja Ramanna Fellow, DAE, GOI.

1999-2002 M.Sc. Tech (Applied Geophysics), Indian School of Mines (ISM), Dhanbad, India

Masters Dissertation: “Generation of various thematic maps as input to the watershed

management of western part of Burdwan district (W.B) using digital IRS LISS-III image data

analysed through EASI/PACE and SPANS image processing and GIS software package.”

1996-1999 B.Sc.(Physics Hons.), Narendrapur Rama Krishna Mission Residential College,

University of Calcutta, India

Position

04/21-Present “Associate Professor”, Indian Institute of Technology (Indian School of Mines), IIT(ISM), Dhanbad.

05/13-04/21 “Assistant Professor”, Indian Institute of Technology (Indian School of Mines),IIT(ISM), Dhanbad.

01/13-04/13 “Reader ”, Indian Institute of Geomagnetism [IIG], Navi-Mumbai.

03/07-12/12 “Fellow”, Indian Institute of Geomagnetism [IIG], Navi-Mumbai.

06/05-02/07 “Research Assistant”, Central Water & Power Research Station [CWPRS], Pune.

01/04-06/05 “CSIR-Intern Fellow”, National Geophysical Research Institute [NGRI], Hyderabad.

02/03-12/03 “Project Fellow”, National Geophysical Research Institute [NGRI], Hyderabad.

Awards and Honors

Krishnan Gold Medal 2013, Indian Geophysical Union [IGU], Hyderabad (awarded during the IGU 50^th Annual Convention, Hyderabad, January 8, 2014) http://www.igu.in/awards.htm#KRISHNAN%20MEDAL
JSPS-KAGI21 Exchange Programme for East Asian Young Researchers, Kyoto University, Japan, 2009.
CSIR-Intern, Diamond Jubilee Award, NGRI, Hyderabad, 2003-2004
Prize with student: Mr. Prasenjit Sarkar, PhD student of Department of Applied Geophysics, IIT (ISM), Dhanbad wins the Best Student Paper Inder Mohan Thapar Research Award (IMTR) 2021.
Prize with student: Mr. Shubham Priyadarshi, 5- Year Integrated M.Sc. Tech (Applied Geophysics) student of Department of Applied Geophysics, IIT (ISM), Dhanbad wins the Best Student Paper 3^rd Prize in 79^th European Association of Geoscientists and Engineers (EAGE) Conference & Exhibition 2017-Student Programme. Title of the paper “PSO-Based Hybrid Approach for Inversion of Vertical Electrical Sounding Data-A Case Study from Western Maharashtra” by S. Priyadarshi, S. Maiti and A. Das
Selected as Assistant Professor on Tenure Track, Dept. of Geology & Geophysics, IIT-Kharagpur, 2010

Publications

Books Published

SL Authors

Chapter Tile

Book Title

3. Maiti, S., and Gupta, G^*

Integrated Geoelectrical and Hydrochemical Investigation of Shallow Aquifers in Konkan Coastal Area, Maharashtra, India: Advanced Artificial Neural Networks based Simulation Approach

Advances in modeling and interpretation for near surface geophysics, (Eds. A. Biswas and SP Sharma), Springer Geophysics, Springer Nature Switzerland AG 2020https://doi.org/10.1007/978-3-030-28909-6_3

2. Gupta, G., Erram, V. C., and Maiti, S.,

Application of Electrical Resistivity Tomography in Delineation of Saltwater and Freshwater Transition Zone: A Case Study in the West Coast of Maharashtra, India

GROUNDWATER: ASSESSMENT, MODELING AND MANAGEMENT, (Eds. M. Thangarajan and Vijay P. Singh), CRC Press, (A unit of Taylor & Francis Group, UK), 1^st July 2016 https://www.crcpress.com/Groundwater-Assessment-Modeling-and-Management/Thangarajan-Singh/p/book/9781498742849

List Of Research Publications (only in Peer-reviewed Journals)

SL. Authors	Title	Journal	IF/Rank (WOS)
39. Das, G., Maiti, S	Ensemble learning-based interpretable method for pore pressure prediction using multivariate well logging data of IODP site U1517	Earth Sci Inform 18, 206,2025 https://doi.org/10.1007/s12145-025-01709-z	2.7 Q2
38. Maiti, S., Gupta, S., and Gupta, P.K.,	Prediction of groundwater quality index and identification of key variables using Bayesian neural network	Water, Air, & Soil Pollution, 2024, https://doi.org/10.1007/s11270-024-07459-w	3.8 Q2
37. Biswas, A., Rao, G.S., Maiti, S.,	Spatial variations in effective elastic thickness and loading ratio in the Indo- Burma subduction zone based on the joint inversion of Bouguer coherence and admittance	Journal of Asian Earth Sciences, Volume 270, 106192, 2024, https://doi.org/10.1016/j.jseaes.2 024.106192.	2.7 Q2
36. Mondal, S.R., Ghosh, R., Ojha, M. and Maiti, S.,	Well log evaluation of the gas-bearing reservoirs in the Bombay offshore basin, Gulf of Cambay, western ‎coast of India	Exploration Geophysics ., 55 (2), 191-21 2024 https://doi.org/ 10.1080/08123985.2023.2288958	0.6 Q4
35. Maiti, S*., Chiluvuru, R.K.,	A deep CNN-LSTM model for predicting interface depth from gravity data over thrust and fold belts of North East India	, Journal of Asian Earth Sciences, , Volume 259, 105881, 2024 https://doi.org/10.1016/j.jseaes.2023.105881	2.7 Q2
34. Das, G., and *Maiti, S^.,**	A machine learning approach for the prediction of pore pressure using well log data of Hikurangi Tuaheni Zone of IODP Expedition 372, New Zealand.	Energy Geoscience., 5(2),100227, 2023 https://doi.org/10.1016/j.engeos.2023.100227	CS 8.2 WOS
33. Karmakar, M., and Maiti, S^*.,	Statistical machine learning augmented interpretation of pore pressure of well1344A located at slope setting of sites IODP	Journal of Earth System Science, 132, 103 , 2023 https://doi.org/10.1007/s12040-023-02114-0	1.3 Q3
32. Gupta, S., and Maiti, S.,	Comparison between Self-Organizing Map and Principal Component analysis for water quality assessment and hydro-geochemical characterization in dyke intruded complex geological settings	Water and Environment Journal, 37(3), 512-526 2023 https://doi.org/10.1111/WEJ.12855	1.7 Q3
31. Gupta, P.K., Maiti, S.	Novel Efficient Method for Automatic Inversion of Vertical Electrical Sounding Data: Case Study from Sindhudurg District, Maharashtra, India	Pure Appl. Geophys, 180, 243–259. 2023 https://doi.org/10.1007/s00024-022-03213-7	1.9 Q2
30. Sengupta, M., Ghosh, R., Sen, A., and Maiti, S.,	Capillary pressure equilibrium theory mapping of 4D seismic inversion results to predict saturation in a gas-water system	Geophysics, 88(2), M49–M58. 2023 https://doi.org/10.1190/geo2022-0054.1	3.0 Q1
29. Gupta, P.K., Maiti, S.,	Enhancing the prediction of hydraulic parameters using machine learning, integrating multiple attributes of GIS and geophysics.	Hydrogeology Journal , 31, pages501–520, 2023 https://doi.org/10.1007/s10040-022-02567-5	2.4 Q2
28. Gupta, P.K., Maiti, S.,	Enhancing data-driven modelling of fluoride concentration using new data mining algorithms.	Environ Earth Sci 81, 89. 2022 https://doi.org/10.1007/s12665-022-10216-z	2.8 Q2
27. Ray, A., Khoudaiberdiev, R., Bennett, C., Bhatnagar, P., Boruah, A., Dandapani, R., Maiti, S., and Verma,	Attribute assisted interpretation of deltaic system using enhanced 3D seismic data. Offshore Nava Scotia	Journal of Natural Gas Science and Engineering, 2022, 99, 104428, https://doi.org/10.1016/j.jngse.2022.104428)	4.9 Q1
26. Mondal, S.R., Ghosh, R., Ojha, M. and Maiti, S., ^*	Predicting Resource Potential of Hydrocarbon in the Gulf of Cambay, West Coast of India, by Integrating Rock Physics and Multi-attribute Linear Regression Transform	Nat Resour Res . 2022, 31, 643-661,https://doi.org/10.1007/s11053-021-09999-y	4.45 Q1
25. Chiluvuru, Ravi Kumar., Raj, S., Pathak, B., Maiti, S., and Kasturi, N.,.	High density crustal intrusive bodies beneath Shillong plateau and Indo Burmese Range of northeast India revealed by gravity modeling and earthquake data.	Physics of the Earth and Planetary Interior, 307,106555, 2020 https://doi.org/10.1016/j.pepi.2020.106555	2.4 Q2
24. Chiluvuru. Ravi Kumar., Kesiezie, N., Pathak, B. *Maiti, S^.,** and Tiwari, R.K	Depth estimation of basement structure beneath the Kohima Synclinorium, North East India via Bouguer gravity data modelling	Journal of Earth System Science 2020, 129:56, https://doi.org/10.1007/s12040-019-1326-z	1.3 Q3
23. Kumar, S., Rawat, G., Dhamadharan, S., Sen, K., and Maiti, S.,	Dimensionality analysis of MT impedances of Tso-MorariDome:Implication for structural interpretation,	Himalayan Geology, 40 (2), 190-198. 2019	1.1 Q3
22. Maiti, S^*., Chiluvuru. R.K., Sarkar, P., and Tiwari, R.K., and Uppala, S.,	Interface depth modelling of gravity data and altitude variations: A Bayesian neural network approach",	Neural Computing and Applications. 32, 3183–3202, 2020 https://doi.org/10.1007/s00521-019-04276-9	4.5 Q2
21. Karmakar, M., and *Maiti, S^.,** 2019.	Short Term Memory Efficient Pore Pressure Prediction via Bayesian Neural Networks at Bering Sea Slope of IODP Expedition 323	Measurement , 135,pp-852-868, 2019 https://doi.org/10.1016/j.measurement.2018.12.034	5.2 Q1
20. Karmakar, M., *Maiti, S^.,** Singh, A., Ojha, M., Maity, B.,	Mapping of rock types using a joint approach by combining the multivariate statistics, self-organizing map and Bayesian neural networks: an example from IODP 323 site	Marine Geophysical Research 39(3), pp-407-419, 2018, http://dx.doi.org/10.1007/s11001-017-9327-2	1.6 Q2
19. Maiti, S^*., Das, A., Shah, R., and Gupta, G.,	Application of automatic relevance determination model for groundwater quality index prediction by combining hydro-geochemical and geo-electrical data ,	Modeling Earth Systems and Environment, vol. 3(4), pp. 1371-1382, 2017 http://dx.doi.org/10.1007/s40808-017-0369-x	2.7 Q3 (ES)
18. Singh, A., *Maiti, S^.,** Tiwari, R.K.,	Selection of optimum wavelet in CWT analysis of geophysical downhole data.	Journal of Indian Geophysical Union,. Vol 21(2), pp.153-166, 2017	0.1 Q4 (ESI )
17. Das, A., *Maiti, S^.,** Naidu, S., and Gupta, G	Estimation of spatial variability of aquifer parameters from geophysical methods: A case study of Sindhudurg district, Maharashtra, India	Stochastic Environmental Research and Risk Assessment, 31(7), pp-1709-1726, 2017 http://dx.doi.org/10.1007/s00477-016-1317-4	3.9 Q1
16. Singh, A., *Maiti, S^.,** Tiwari, R.K.,	Modelling discontinuous well log signal to identify lithological boundaries via wavelet analysis: An example from KTB borehole data.	Journal of Earth System Science vol 125(4), pp.761-776, 2016, http://link.springer.com/article/10.1007/s12040-016-0701-2	1.3 Q3
15. Ojha, M., and Maiti, S.,	Sediment classification using neural networks: an example from the site-U1344A of IODP Expedition 323 in the Bering Sea	Topical Studies in Oceanography, vol 125-126, pp 202-213, 2016 http://dx.doi.org/10.1016/j.dsr2.2013.03.024,	3.0 Q2
14. Gupta, G., Patil, J.D., Maiti, S.,Erram, V.C., Pawar, N.J., Mahajan, S.H., and Suryawanshi, R.A.,	Electrical resistivity imaging for aquifer mapping over Chikotra basin, Kolapur District, Maharashtra.	Environmental Earth Sciences, vol 73(12), pp. 8125-8143, 2015 http://dx.doi.org/10.1007/s12665-014-3971-5	2.8 Q2
13. Gupta, G., Erram, V. C., and Maiti, S.,	Geoelectrical investigation for potential groundwater zones in parts of Ratnagiri and Kolhapur districts, Maharashtra	Journal Indian Geophysical Union, vol. 19(1), pp.27-38,2015	0.1 Q4 (ESI)
12. Gupta, G., Maiti, S., and Erram, V.C.,	Analysis of electrical resistivity data in resolving the saline and fresh water aquifers in west coast Maharashtra, India.	Journal of the Geological Society of India, vol 84(5), pp 555-568, 2014 http://link.springer.com/article/10.1007/s12594-014-0163-6#page-1	1.3 Q3
11. Maiti, S^*., and Tiwari, R.K.,	A comparative study of artificial neural networks, Bayesian neural networks and adaptive neuro-fuzzy inference system in Groundwater Level Prediction	Environmental Earth Sciences, vol71(7), pp 3147-3160, 2014 http://dx.doi.org/10.1007/s12665-013-2702-7,	2.8 Q2
10. Maiti, S^*.,Erram, V.C., Gupta,G., Tiwari, R.K., Kulkarni, U.D., and Sangpal, R.R.,	Assessment of groundwater quality: A fusion of geochemical and geophysical information via Bayesian Neural Networks,	Environmental Monitoring and Assessment, vol185(4),pp 3445-3465, 2013. http://dx.doi.org/10.1007/s10661-012-2802-y	3.0 Q3
9. Maiti, S^*., Gupta, G., Erram,V.C., and Tiwari, R.K.,	Delineation of shallow resistivity structure around Malvan, Konkan region, Maharashtra by neural network inversion using vertical electrical sounding measurements	Environmental Earth Sciences, vol. 68(3), pp 779-794, 2013, http://dx.doi.org/10.1007/s12665-012-1779-8	2.8 Q2
8. *Maiti, S^.,**Erram,V.C., Gupta, G., and Tiwari, R.K..,	ANN based inversion of DC resistivity data for groundwater exploration in hard rock terrain of western Maharashtra (India)	Journal of Hydrology, vol. 464-465, pp.281-293, 2012, http://dx.doi.org/10.1016/j.jhydrol.2012.07.020,	5.9 Q1
7. Tiwari, R.K., and Maiti, S.,	Bayesian neural network modeling of tree-ring temperature variability record from the Western Himalayas	Nonlinear Processes in Geophysics, vol.18(2), pp.515-528, 2011, http://dx.doi.org/10.5194/npg-18-515-2011,	1.7 Q2
6. Maiti, S^*., Gupta, G., Erram,V.C., and Tiwari, R.K.,	Inversion of Schlumberger resistivity sounding data from the critically dynamic Koyna region using Hybrid Monte Carlo-based neural network approach.	Nonlinear Processes in Geophysics, vol.18(2), pp.179-192, 2011, http://dx.doi.org/10.5194/npg-18-179-2011,	1.7 Q2
5. Maiti, S^*., and Tiwari, R.K.,	Neural network modeling and an uncertainty analysis in Bayesian framework: A case study from the KTB borehole site,	Journal of Geophysical Research, vol.115, B10208, 2010 http://dx.doi.org/10.1029/2010JB000864,	3.9 Q1
4. Maiti, S^*., and Tiwari, R.K.,	Automatic discriminations among geophysical signals via the Bayesian neural networks approach,	Geophysics, , vol. 75(1), pp E67-E78, 2010 http://dx.doi.org/10.1190/1.3298501	3.0 Q1

Papers in conference abstract volumes / presented

SL. Authors	Title	Conference
28. Dabi, S., Vishwakarma, A., Maiti, S.,	Joint Implementation of Ensemble and Deep Learning Regression Techniques to Predict Missing Density Logs,	Paper Number: IPTC-22454-MS, Paper presented at the International Petroleum Technology Conference, Riyadh, Saudi Arabia, February 2022. https://doi.org/10.2523/IPTC-22454-MS
27. Dabi, S., and Maiti, S.,	Implementation of Machine Learning Ensemble Techniques for 3D Inversion of Gravity Data	AGU Fall Meeting 2021 https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/952871
26. Dabi, S., Vishwakarma,A.,Maiti, S	Prediction of Shear Sonic Time log Using Machine Learning Techniques and Empirical Relations	AGU Fall Meeting 2021 https://agu.confex.com/agu/fm21/meetingapp.cgi/Paper/948652
25. Bhowmick, D., Gupta, D. K., Maiti, S., and Shankar, U., 2019.	Stacked autoencoders based machine learning for noise reduction and signal reconstruction in geophysical data	arXivarXiv:1907.03278; 2019
24. Bhowmick, D., Gupta, D. K., Maiti, S., and Shankar, U.,	Deep Autoassociative Neural Networks for Noise Reduction in Seismic data	arXivarXiv:1907.03278 ; 2018,
23. Bhowmick, D., Gupta, D. K., Maiti, S., and Shankar, U.,	Velocity-porosity super model: A deep neural networks based concept	arXiv:1804.07112 [cs.CE] https://www.cornell.edu/ ; 2018
22. Shah, R., and Maiti, S.,	Artificial Neural Networks using Regularized Logistic Regression Cost Function: A Robust Lithofacies Classifier.	Artificial Neural Networks using Regularized Logistic Regression Cost Function: A Robust Lithofacies Classifier. 80^th EAGE Conference & Exhibition 2018, 11-14 June 2018, Copenhagen, Denmark. http://dx.doi.org/10.1007/10.3997/2214-4609.201801740
21. Das, A., and Maiti, S.,	Groundwater quality prediction using Bayesian automatic relevance determination modelling.	Society of Petroleum Geophysicists (SPG), November 17-19, Jaipur, India, Extended Abstract. 180 (on CDROM), pp.1-5, http://www.spgindia.org/
20. Kumar R. Ch., Kesiezie N., Singh , N., and Maiti, S.,	Seismic site response studies for microzonation and hazard assessment of Kohima, Nagaland, North Eastern Region of India.	Indian Journal of Geosciences, Vol. 71(3), pp. 501-518 ;2016 https://www.researchgate.net/publication/342588664_Seismic_site_response_studies_for_microzonation_and_hazard_assessment_of_Kohima_Nagaland_North_Eastern_Region_of_India
19. Priyadarshi, SK Maiti, S., Rekapalli, R Tiwari, RK	A hybrid PSOGSA-based inversion of noisecorrupted seismic data using singular spectrum-based time slice denoising	SEG Technical Program Expanded Abstracts, 4835-4839; 2016 , https://doi.org/10.1190/segam2016-13871026.1
18. Singh, B.B., Srivardhan, V., and Maiti, S.,	Integrated particle swarm optimization based inversion of self potential anomaly for mineral detection	78^th EAGE Conference and Exhibition, Vienna, Austria, May 30-02 June 2016 ,Extended Abstract, http://dx.doi.org// 10.3997/2214-4609.201601269
17. Bhowmick, D., Shankar, U., and Maiti, S.	Revisiting supervised learning in the context of predicting gas hydrate saturation,	78^th EAGE Conference and Exhibition, Vienna, Austria, May 30-02 June 2016 ,Extended Abstract, http://dx.doi.org//10.3997/2214-4609.201600900
16. Maiti, S., and Ojha, M.,	Modeling and classification of marine sediment using multivariate statistics and hybrid neural computation.	11^th Biennial International Conference & Exposition on Petroleum Geophysics, Society of Petroleum Geophysicists(SPG), Jaipur, Extended Abstract. 179(on CDROM), pp.1-6, http://www.spgindia.org/
15. Seth, V., Srivardhan, V., Maiti, S.,	Evaluation of formation shaliness using factor analysis of site –U1344A of IODP expedition 323 in the Bering Sea	77^th EAGE Conference and Exhibition 2015, pp.1-3.
14. Erram, V.C., Gupta, G.,Maiti, S., and Anand, S.P.,	Structure and tectonics of Konkan coastal belt of Maharashtra from ground magnetic studies,	In: Proc. 5^th International Groundwater Conference (IGWC-2012), pp.570-577.
13. Gupta, G., Sijo, T.P., Erram, V.C.,Maiti, S., and Mahajan, S.H.,	Electrical characterization of groundwater salinazation in Konkan coastal aquifers, Maharashtra.	In: Proc. 5^th International Groundwater Conference (IGWC-2012), pp.1208-1221,
12. Maiti, S., Gupta, G., and Erram, V.C.,	Inversion of Schlumberger resistivity sounding data from the Malvan, Konkan region using hybrid Monte Carlo based neural network approach	Proc. of 4^th International Groundwater Conference (IGWC-2011), Madurai, on Water Resources Assessment, Recharge and Modeling, pp.75-85
11. Erram, V.C., Gupta, G., and Maiti, S.,	Delineation of weathered fractured aquifer in the hard rock terrain of Deccan Volcanic Province using vertical electrical resistivity data	Proc. of 4^th International Groundwater Conference (IGWC-2011), Madurai, on Water Resources Assessment, Recharge and Modeling, pp.34-38.
10. Maiti, S.,Erram, V.C.,Gupta, G., Nandi., R., and Pal., S.,	Direct Current VES Data Inversion using Singular Value Decomposition Method for Delineating Seawater Intrusion in parts of Konkan, Western Maharashtra	9 ^th Biennial International Conference & Exposition on Petroleum Geophysics, Society of Petroleum Geophysicists (SPG), Hyderabad, Extended Abstract (on CDROM), pp.1-6, http://www.spgindia.org/
9. Maiti,S., and Tiwari, R. K..,	Modeling of Rock Boundary using Walsh Domain Sequency Filtering: An Example from the German Continental Deep Drilling Program (KTB) Borehole Site	9 ^th Biennial International Conference & Exposition on Petroleum Geophysics,Society of Petroleum Geophysicists(SPG), Hyderabad, Extended Abstract (on CDROM), pp.1-6, http://www.spgindia.org/
8. Maiti, S.,Erram, V.C.,Gupta, G., and Tiwari, R.K.,	Inversion of Schlumberger Vertical Electrical Sounding Data using a Hybrid Monte Carlo Based Bayesian Neural Network Approach	9 ^th Biennial International Conference & Exposition on Petroleum Geophysics,Society of Petroleum Geophysicists(SPG), Hyderabad, Extended Abstract (on CDROM), pp.1-6, http://www.spgindia.org/
7. Gupta, G., Erram, V. C. Maiti, S.,Kachate, N. R and Patil, S. N.,	Geoelectrical studies for delineating seawater intrusion in parts of Konkan coast, western Maharashtra	International Journal of Environment and Earth Sciences, vol.1, pp.62-79.
6. Gupta, G., Erram,V. C., and Maiti, S.,	Geoelectric investigation of hot springs in western Maharashtra	Journal of Advances in Science and Technology, vol.13, No.1, pp.86-95.
5. Maiti,S., and Tiwari, R. K.,	Automatic detection of litho-Facies via the Hybrid Monte Carlo based Bayesian neural networks approach	8 ^th Biennial International Conference & Exposition on Petroleum Geophysics,Society of Petroleum Geophysicists(SPG),Hyderabad, Extended Abstract 188(on CDROM), pp.1-7.
4. Maiti, S., and Tiwari, R. K.,	Classifications of lithofacies boundaries using the KTB borehole data: A Bayesian neural network modeling	7 ^th Biennial International Conference & Exposition on Petroleum Geophysics,Society of Petroleum Geophysicists(SPG),Hyderabad, Extended Abstract 80(on CDROM),pp.1-7.

Projects & Activities

Consultancy Project (for ONGC)

2. Consultancy Project No. CONS/3694/2017-2018 2017-2018

Title "Hydrological Study of Ground Water in Bera Colliery, Bastacolla"

Funding Agency: Bharat Coking Coal Limited (BCCL)

CI: Sanjit. K. Pal, Co-CI: Saumen Maiti, Member: Saurabh Datta Gupta.

Status: Completed

Sanctioned Amount: Rs. 3.38 lakhs

Sanctioned Letter No.: CONS/3694/2017-2018 dt. 19/11/2017

1. Consultancy Project No. CONS/3807/2017-2018 2017-2018

Title "Hydrological Study at Pakri Barwardih Coal Mine to Delineate Water Saturated and Dry Formations". .

Funding Agency: Bharat Coking Coal Limited (BCCL)

CI: Sanjit. K. Pal, Co-CI: Saumen Maiti

Status: Completed

Sanctioned Amount: Rs. 10.00 lakhs

Sanctioned Letter No. CONS/3807/2017-2018 dt. 27/03/2018

Membership of Scientific Societies

Indian Geophysical Union (IGU), Hyderabad (Life Member)

Society of Exploration Geophysicists (SEG), USA (Member)

Other Academic and Administrative Activities

Workshop/EDP Course/Short Term Course/Training

7. GIAN Course (Course ID: 2414024) [No.: DRD/GIAN/COURSE/0163/2024-25] 2024-2025

Global Initiative of Academic Network (GIAN) course on "Inverse Methods and Machine Learning: Applications in Geosciences” (Course ID: 2414024)" June 23-27, 2025, at IIT(ISM), Dhanbad.

Sanctioned Amount: Rs. 6.64 lakhs

https://www.linkedin.com/posts/gian-india_brochure-activity-7275402384711839747-vyFO/?utm_source=share&utm_medium=member_android

6. EDP Course (Hybrid) (No: EDP/7247/2024-25) 2024-2025

EDP Course on the topic” Resource Parameter Estimation and Forecasting Using Skillful and Interpretable AI/ML of Geoscience Data” was conducted during 8^th July-12^th July 2024 at at IIIF, IIT(ISM) Delhi Center, Okla, Phase 1, Delhi. (EDP No.: No EDP/7247/2024-25).

Speakers: Academic & Industry, 9

Participants: More than 50!

CI: Saumen Maiti, Co-CI: Partha Pratim Mandal.

Funding Agency: ONGC, OIL, IOCL, Telesto Energy Pte. Ltd., Industry and/or Academic Participants Registration/Sponsorship.

Sanctioned Amount: Rs. 5.9 lakhs

5. Workshop (Physical) (No.: IIT(ISM)(Workshop)/2023-2024/45/AGP) 2023-2024

Prof. Jagdeo Singh Memorial Lecture & Workshop on the topic” AI and Automation for Geophysical Exploration and Sustainable Resources Management” was conducted on 5^th November 2022 at GJLT, IIT(ISM) Dhanbad. (No.: IIT(ISM)(Workshop)/2023-2024/45/AGP).

Speakers: Academic & Industry,

Participants: More than 120!

CI: Saumen Maiti, CI: Saurabh Datta Gupta.

Funding Agency: Telesto Energy Pte. Ltd., Industry and/or Academic Participants Registration/Sponsorship.

Sanctioned Amount: Rs. 2.2 lakhs

4. Workshop (Online): 2021-2022

Workshop conducted on “Measurement, Computation and Deep Learning in Geosciences” on August 18, 2021 5.00PM-8.30P.M.(IST)

Coordinator: Saumen Maiti, Co-Coordinator: G.S. Rao

Speakers:

Prof. Mrinal K Sen, Associate Director, Institute for Geophysics, Jackson School of

Geosciences, The University of Texas at Austin delivered talk on “Inverse Problems and Machine learning in Geosciences”

Prof. Subhashis Mallick, The University of Wyoming, P.O. Box 3006 Laramie, Wyoming

delivered talk on” Geosciences and Changing Climate”

Prof. Tapan Mukerji, Department of Energy Resources Engineering-Energy

Resources Engineering, Stanford University delivered talk on

“Recent advances in Machine learning and Geophysics: Pitfalls and opportunities”

Prof. Ramesh Singh, Department of Physics, Computational Science and

Engineering, Schmid College of Science, Chapman University,

Hashinger #219, One University Drive, Orange, CA 92866 delivered talk on “Dynamic Nature of Earth Systems Using Broad Band Electromagnetic Waves”

3. Webinar Series (Online): 2021-2022

Webinar Series on the topic “Imaging & Interrogating the Earth's Subsurface” during December 15-16, 2021 & Time: 4:30-6:15 PM (IST).

Coordinator: Saumen Maiti

Speaker:

Prof. Andrew Curtis, University of Edinburgh, U.K. (https://blogs.ed.ac.uk/curtis/)

Talks with following details;

Talk 1: 1 hour 45 mins (with questions and a break in the middle)
Topic: Bayesian imaging & interrogation, focusing on Monte Carlo methods
https://www.youtube.com/watch?v=TRwfKwZb6UI

Talk 2: 1 hour 45 mins (with questions and a break in the middle)
Topic: Bayesian imaging with uncertainty analysis, focusing on machine learning methods.

https://www.youtube.com/watch?v=Lan5cdC0Z4M

Abstract: Inversion and machine learning methods have been used in a variety of contexts to image the interior of the Earth using data recorded on the surface. Far less attention has been paid to imaging uncertainties in those results - the range of other models that would also fit the data. This talk focuses on methods to image the family of all interior models that are consistent with the data within some class of model constraints imposed by parameterizations and prior information, and to constrain the Bayesian posterior probability density across that class of models. This allows us to answer geoscientific questions by interrogating the posterior distribution: an example will be shown where we infer the probability distribution of the volume of subsurface basins from seismic surface wave data, and provide an estimate of the optimal (least-biased) answer.

Bio-data: Andrew Curtis is Professor of Mathematical Geoscience at the University of Edinburgh. He originally studied Mathematics in Edinburgh, but converted to Geophysics during his D. Phil. (Ph. D.) in the University of Oxford where he modeled ground deformation due to earthquake rupture and used seismic tomography to image the structure beneath Tibet. He decided to focus on seismology and inverse theory, which led him to an industrial research position in Schlumberger Cambridge Research for 8 years, before moving back to the University of Edinburgh in 2005. Since 2010 he has run the industrially-funded research consortium, the Edinburgh Imaging Project, which focuses on imaging and uncertainty analysis. He first worked on machine learning during the first wave of neural networks' popularity in the 1990's, and never really stopped!

2. Short-Term Course under TEQIP-III 2020-2021

Course Coordinator for conducting a 5-days short term course on the topic "Artificial Intelligence and Applications in Geosciences" sponsored by TEQIP-III, GOI, during 11-15^th January, 2021.

1. Training (Online) Scientific Social Responsibility Policy (SSRP) (File No: CRG/2018/001368) 2020-2021

A one day online training on the topic of "Artificial Intelligence in Exploration Geosciences" for the research scholar of other IITs/Central University/IIGM/DST Labs is conducted on 31/07/2020 under (SERB)/DST Scientific Social Responsibility Policy (SSRP) of the research and development (R&D) project entitled " Dyke intruded fractured rock characterization using discrete dual porosity and neural network modelling of geo-electrical data for water resource management" (File No: CRG/2018/001368).

Funding Agency: SERB, Govt. of India

PI: Saumen Maiti

Sanctioned Amount: Rs. 0.7 lakhs

Invited Talk

Maiti, S., 2024. Resource Characterization and Modelling using AI/ML, 47^th Association of Exploration

Geophysicists (AEG) Conference, on “Geo-exploration for Critical Minerals and Precious Metals” during 12-13

December 2024, Hyderabad, India,

Maiti,S., Clustering methods on Short Term Virtual Course on the topic "Inversion and Machine Learning Applications for the Geoscience Data Analysis" sponsored by MoES, GOI, 08-27^th March, 2021 https://www.ngri.org.in/cms/skill-development.php

Maiti,S., Clustering using well logs on Short Term Virtual Course on the topic "Inversion and Machine Learning Applications for the Geoscience Data Analysis" sponsored by MoES, GOI, 08-27^th March, 2021 https://www.ngri.org.in/cms/skill-development.php

Maiti, S., Data Driven Computational Learning Framework for Assessment of Groundwater: A Review of Potential Techniques. Diamond Jubilee National Conference on “Emerging Trends in Geophysical Research for Make-in-India (ETGRMI)-2018” March 9-11, 2018, at Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad-826004
Maiti, S., Artificial Neural Networks: Theory and Practices in Geophysical Data Analysis. In Short Term Training on “Geophysical Software Practices for Subsurface Imaging” sponsored by SERB, DST, GOI, New Delhi, December 12-17, 2016 at Department of Applied Geophysics, Indian Institute of Technology (Indian School of Mines), Dhanbad-826004.
Maiti, S., What does a geophysicist do? Training Programme on “Basic Geophysical Techniques” sponsored by DST, GOI, New Delhi, January 18-25, 2015 at Department of Applied Geophysics, Indian School of Mines, Dhanbad-826004.
Maiti, S., Advancement of neural network modeling: Insights for Earth Probing. 50^th Annual Convention on "Sustainability of Earth System-The Future Challenges" Indian Geophysical Union (IGU), January 9-12, 2014, National Geophysical Research Institute (NGRI), Hyderabad-500007.
Maiti, S.,Neural Network Modeling of Geophysical Well Log Data: A Case Study from German Continental Deep Drilling Program (KTB) Site, 5 ^thKAGI21 International Summer School, Japan, 21^st August-3^rd September 2009

Appointments

Coordinator of Executive Development Program (EDP) course on the topic” Resource Parameter Estimation and Forecasting Using Skillful and Interpretable AI/ML of Geoscience Data”, 8^th -12^th July 2024 at at IIIF, IIT(ISM) Delhi Center, Okla, Phase 1, Delhi. (No.: No EDP/7247/2024-25).
Member of the Assessment Committee for regular staff/employee of CSIR-NGRI, Govt. of India, since 2024
Member of the DFSC, Department of Applied Geophysics, IIT(ISM) Dhanbad-826004, since 2024
Panelist, on the workshop on the topic “Use of Emerging Technologies for Mineral Exploration “organised by Southern Region, Geological Survey of India, Hyderabad on 22^nd December 2023.
Convener of Prof. Jagdeo Singh Memorial Lecture & Workshop on the topic” AI and Automation for Geophysical Exploration and Sustainable Resources Management”, 5^th November 2022 at GJLT, IIT(ISM) Dhanbad (No.: IIT(ISM)(Workshop)/2023-2024/45/AGP).
Convener of Webinar Series on the topic “Imaging & Interrogating the Earth's Subsurface” during December 15-16, 2021 & Time: 4:30-6:15 PM (IST).
Convener for the workshop conducted on “Measurement, Computation and Deep Learning in Geosciences” on August 18, 2021 5.00PM-8.30P.M.(IST)
Panelist, on the Theme "Inversion and Machine Learning Techniques for Geophysical Data" of the VAIBHAV Summit, session V13H4S2 by Govt. of India, on 17^th Oct 2020, https://vaibhav.gov.in/v11.php
Convener, DUGC, Department of Appl. Geophysics, IIT(ISM) Dhanbad since 5/10/2020

Convener of a session on “Quantification and Modelling of Nonlinear Processes in Climate Change and Extreme Events” under the main theme of “Quantification of Non-linear Geological Processes” at 36^th International Geological Congress (IGC), 2020(to be re-scheduled!), New Delhi, India http://www.36igc.org/theme41.php.
Organizing Secretary of Diamond Jubilee National Conference on the Topic “Emerging Trends in Geophysical Research for Make-in-India (ETGRMI-2018), organized by Department of Applied Geophysics, IIT(ISM) Dhanbad-826004 during March 9-11, 2018 at IIT(ISM) Dhanbad-826004
Co-convener of a session on “Critical Phenomena in the Earth’s System Processes: Applications of Fractal, Chaos and Catastrophe Theory” at AOGS conference, Hyderabad, 5^th - 9^th July, 2010. http://www.asiaoceania.org/society/public.asp?view=aogs2010/listBySectionSessions

Reviewers of Journals

Geophysical Prospecting: Wiley Publisher
Computational Geosciences: Springer Publisher
Neural Computing and Application: Springer Publisher
Geophysical Journal International: Wiley Publisher
Journal of Geophysical Research-Solid Earth, Wiley Publisher
Journal of Earth System Science: Springer Publisher
Journal of Hydrology: Elsevier Publisher
Journal of the Geological Society of India: Springer Publisher
Earth Interactions: American Geophysical Union Publisher
International Journal of Electrical Power and Energy Systems: Elsevier Publisher
CLEAN - Soil, Air, Water: Wiley Publisher
Geophysics: SEG, US
Science of the Total Environment: Elsevier Publisher
Measurement: Elsevier Publisher
Neural Processing Letters: Springer Publisher
IEEE Access: IEEE Publisher
Journal of Applied Geophysics: Elsevier Publisher
Transport in Porous Media: Springer Publisher
Transport in Porous Media: Springer Publisher
IEEE Transactions on Neural Networks and Learning Systems: IEEE Publisher
Journal of Natural Gas Science and Engineering: Elsevier Publisher
Advanced Engineering Informatics: Elsevier Publisher
Arabian Journal of Geosciences: Springer Publisher
Neurocomputing: Elsevier Publisher
Earth Science Informatics: Springer Publisher
Geomechanics and Geophysics for Geo-Energy and Geo-Resources: Springer Publisher
Scientific Reports: Springe Nature Publisher,

Guidance

PhD Awarded

Mr. Praven Kumar Gupta (17DR000543) [24/8/2017-17/10/2023]: Data-driven techniques for enhanced modelling of aquifer parameters. Sole Guideship via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.17/10/2023, Praveen now works for Coal India Limited. GOI
Mrs. Moumita Sengupta (17DP000261) [13/3/2017-17/10/2023]: Development and application of rock physics techniques for geophysical mapping of the time-lapse elastic properties of reservoirs for CO₂sequestration and EOR. Principal Guideship via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.17/10/2023, Moumita now works for Crain India
Mrs. Sikha Rani Mondal (17DP000230) [9/2/2017-15-09-2023]: An integrated approach of well log, seismic and rock physics modeling to delineate hydrocarbon prospects at the Gulf of Khambhat, Mumbai offshore. Principal Guideship via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.15/09/2023, Sikha now works for DGH, GOI
Mr. Amit Kumar Ray (17DP000154) [03/08/2016-02/03/2023] Enhanced seismic characterization of deltaic channel sands using attribute analysis and machine learning. Amit now works for Telesto Energy; Sole Guideship, via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.17/03/2023
Mr. Ch. Ravi Kumar (2016DR1025)[24/07/2015-16/04/2022]:Integrated Geophysical Studies for Deciphering Crustal Structure and Seismotectonics in parts of North Eastern Region, India. Ravi now works for Geological Survey of India (GSI), GOI. Principal Guideship via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.24/04/2022
Ms.Mampi Karmakar, (2015DR0070)[17/04/2015-09/06/2020]: Pore Pressure and Lithology Prediction using Machine Learning Techniques. Mampi now works Halliburton Company in Machine Learning and Data Science Group. Boroda. Principal Guideship, via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.20/06/2020
Mrs.Anasuya Das (2013DR/0156)[24/07/2013-16/11/2018 ]: Aquifer Characterisation in parts of Sindhudurg District, Maharashtra, India using Geo-electrical and Hydro-geochemical data. Anasuya now works for Geological Survey of India (GSI), GOI. Sole Guideship, via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.16/11/2018
Mrs. Amrita Singh (2013DR0158) [24/07/2013-29/03/2017]: Modelling of Discontinuous Geophysical Signal using Wavelet Transform. Amrita now works at NGRI, Hyderabad as SERB Postdoc on Gas Hydrate exploration and geo-environmental problems. Sole Guideship, via ref. no. Exam/219905/Ex.Bd./2007-08(Vol.III) dt.29/03/2017

PhD Thesis Submitted

Mr. Anirban Biswas (18DR0028) [ 28-07-2018----------]: “Lithospheric structure and mechanical strength variations over the Indo-Burma Subduction zone, Southeast Asia. (with Dr. G.S.Rao, IIT Bombay)

PhD Ongoing

Ms. Surabhi Gupta (18DR0141)[28/7/2018---------]:Fractured Rock Characterization using Neural Network Modelling of Geoelectrical Data. Surabhi works for ONGC, PSU, Govt. of India
Ms. Goutami Das (20DR0048)[23/08/2020--------):Deep Learning/ Machine Learning Applications to Reservoir Characterization.
Mr. Anuj Kumar Srivastava (22DR0053)[ 08-08-2022 ]: Reservoir parameter estimation via AI/ML, Anuj works for CIL, PSU, Govt. of India
Ms. Pragati Chaurasia (22DR0175)[08-08-2022 ]: Potential-field data analysis with deep learning, Pragati works for GSI, Govt. of India
Mr. Aditya Raj (23DP0042) [22-12-2023……. ]: Deep learning with Multi-Mineral System Prediction, Aditya works for GSI, Govt. of India
Mr. Subhra Kangsabanik (24DR0195)[27-06-2024……..]: AI/ML with Reservoir Studies