CSRE

 

 

GEOLOGY & MINERAL RESOURCES GROUP

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Alok Porwal MSc, PhD

Professor and Group Leader

Adjunct, CET, the University of Western Australia
Associate Editor, Ore Geology Reviews
Associate Editor, Arabian Journal of Geosciences
Editorial Advisor, Natural Resources Research
aporwal@iitb.ac.in; alok.porwal@gmail.com
+91 (0)22 2576 7673

Awarded IIT Bombay's Professor SP Sukhatme Award for Excellence in Teaching 2017

 

PROFESSIONAL service

I provide training and consultancy to mining and exploration industry, government and intergovernmental agencies in the field of prospectivity modelling and mineral exploration targeting. Previous and present clients include BHP Billiton, AREVA, Regalpoint Uranium, AusGold, Geoscience Australia, Council of Geosciences - South Africa and IAEA.

 

Teaching and Research

Masters/PhD courses

- GNR 603 Principles of remote sensing

- GNR 628 Spectroscopy of planetary material

- GNR 633 Remote sensing and GIS for mineral and petroleum exploration

- GNR 627 Natural resource potential modelling

-GNR 648 Thermal Infrared Remote Sensing

- GNR 653 Data Analysis Methods for Geospatial Applications

Current Research interests

- GIS-based Mineral prospectivity modelling

- Uranium, gold and nickel mineral systems

- Geologic remote sensing

- Machine learning and artificial intelligence
- Planetary remote sensing

- Field spectroscopy of geologic material

Training workshops/short-term courses

- Mineral prospectivity modeling

- Machine learning and artificial intelligence

 

Academic service

Guest editorship, Special volumes of Ore Geology Reviews 2010; 2015; 2016 (in progress); 2018 (in progress)

National coordinator, 36th International Geological Congress, New Delhi

Conference convener in international conferences

1.      Geomatrix 12, Mumbai, India, Feb 2012

2.      GIS in mining and exploration, Perth, Dec 2012

3.      Geomatrix 19, Mumbai, India, Feb 2019

Session convener in international conferences

1.      Session on Quantitative Approaches to Hydrothermal Systems at European Geoscience Union (EGU) General Assembly, Vienna, Austria, April 2009.

2.      Session on Structural Controls on Mineralization, Conceptual targeting and Prospectivity/endowment analysis at the Society for Geology Applied to Mineral Deposits (SGA) meeting, Townsville, Australia, August 2009.

3.      Session on Quantitative Approaches to Hydrothermal Systems at European Geoscience Union (EGU) General Assembly, Vienna, Austria, May 2010.

4.      Session on mineral prospectivity modelling at 34th IGC, Brisbane, Australia, August, 2012.

5.      Sessions on mineral prospectivity modelling and mineral systems paradigm at 35th IGC, Cape Town, South Africa, August, 2016.

Conference chair in international conferences

GIS in mining and exploration, Perth, Dec 2012

Session chair in international conferences

1.      Session III in the VII International Symposium on Mineral Exploration (ISME): Application of Neural Networks to the Earth Sciences, NASA Moffett Field, California, USA, Aug 2002.

2.      Session on Quantitative approaches to hydrothermal systems at European Geoscience Union (EGU) General Assembly, Vienna, Austria, April 2009.

3.      Session on Quantitative approaches to hydrothermal systems at European Geoscience Union (EGU) General Assembly, Vienna, Austria, May 2010.

4.      Session on mineral prospectivity modelling at 34th IGC, Brisbane, Australia, August, 2012

5.      Sessions on mineral prospectivity modelling and mineral systems paradigm at 35th IGC, Cape Town, South Africa, August, 2016.

International workshops/courses conducted

1.      Mineral prospectivity analysis and quantitative resource assessments, Australian Earth Science Convention, Perth, Australia, July 2008.

2.      GIS-based spatial mathematical modeling for uranium prospectivity mapping, AFMECO Mining & Exploration (a subsidiary of the French Nuclear Group Areva), Adelaide, Australia, November 2008.

3.      Computer-aided exploration targeting: module on GIS-based prospectivity mapping, CET, the University of Western Australia, 2009, Perth, Australia, July 2009.

4.      Mapping Mineral Prospectivity Using GIS, Conference on GIS in Mining and Exploration 2010, September 2010.

5.      GIS-based mineral prospectivity mapping, Geoscience Australia, Canberra, 7-8 Dec 2010.

6.      Mineral prospectivity mapping with GIS: A masterclass, in the international conference on GIS in mining and exploration, Brisbane, Australia, 7-8 March 2011.

7.      Computer-aided exploration targeting: module on GIS-based prospectivity mapping, CET, the University of Western Australia, 2009, Perth, Australia, July 2011.

8.      Using GIS-based Soft Computation and Artificial Intelligence Techniques in Mineral Exploration: A masterclass, GIS in mining and exploration, Perth, Australia, September, 2011.

9.      IAEA workshop on Uranium prospectivity modeling, Beijing Research Institute of Uranium Geology, China National Nuclear Corporation, November, 2011.

10.  GIS-based mineral prospectivity modeling, GIS in mining and exploration conference, Brisbane, Australia, Dec 2012

11.  IAEA workshop on Uranium prospectivity modeling, Sri Lankan Bureau of Mines and Geology, Colombo, September, 2013.

12.  Computer-aided exploration targeting: module on GIS-based prospectivity mapping, CET, the University of Western Australia, Perth, Australia, Oct 2013.

13.  IAEA National workshop on Uranium modeling, Nanchang, China, Nov 2014.

14.  Training workshop on mineral prospectivity modeling, Council of Geoscience, Pretoria, South Africa, Feb 2016

15.  IAEA National workshop on Uranium modeling, Nanchang, China, Dec 2017

16.  Workshop on machine learning and best practice in mineral prospectivity modeling, Perth and Santiago, BHP Billiton. June 2018

Research supervision

-  PhD 2 completed + 7 on-going

-  MSc 10 completed + 1 on-going

-  Honors 1 completed

Publications

International journals guest editorship

1.      Gonzalez-Alvarez, I., Stoppa, F., Yang, X., Porwal, A. (Guest Editors), Insights on Carbonatites and their Mineral Exploration approach: A Challenge towards Resourcing Critical Metals. Ore Geology Reviews (2018)

2.      Porwal, A. and Gonzalez-Alvarez, I. (Guest Editors), Geologic remote sensing and spectroscopy, Ore Geology Reviews (2018)

3.      Porwal, A. and Carranza, E.J.M., (Guest Editors), GIS-based mineral prospectivity modeling, Ore Geology Reviews. (2016)

4.      Kreuzer, O.P. and Porwal, A. (Guest Editors), Prospectivity Analysis, Special issue on mineral prospectivity mapping, quantitative assessment, Ore Geology Reviews (2010)

International monographs/bulletin/technical reports/book chapters

1.      Thakur, S., Porwal, A., Chudasama, B. Global grade tonnage modelling of uranium deposits, in: Fairclough, M. (ed.), Quantitative and spatial modelling of uranium resources. IAEA TechDoc (Accepted)

2.      Kreuzer, O.P., Chudasama, B., Thakur, S., Porwal, A., Surficial uranium systems in Western Australia: prospective tracts and undiscovered endowment, in: Fairclough, M. (ed.), Quantitative and spatial modelling of uranium resources. IAEA TechDoc (Accepted)

3.      Jaireth, S., Porwal, A. Spatial and quantitative modeling of uranium resources. in: Fairclough, M. (ed.), Quantitative and spatial modelling of uranium resources. IAEA TechDoc (Accepted)

4.      Xiao, K., Li, N., Porwal, A., Holden, E. J., Bagas, L., & Lu, Y. (2016). Research on GIS-Based 3D Prospectivity Mapping and a Case Study of Jiama Copper-Polymetallic Deposit in Tibet, China. In Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment (pp. 735-740). Springer International Publishing.

5.      Joly, A., Dentith, M, Porwal, A, Spaggiari, CV, Tyler, IM, McCuaig, TC. (2013) An integrated geological and geophysical study of the west Arunta Orogen and its mineral prospectivity. Geological Survey of Western Australia Special Bulletin, 89 pp.

6.      Porwal, A., Carranza, E.J.M., and Hale, M. (2011), Mathematical models for mapping the potential of mineral deposits. In: Ed. P. Ghosh, Numerical Methods and Models in Earth Science, New India Publishing Agency, New Delhi, India, 99-117

7.      Porwal A. and Carranza, E.J.M. (2008), Classifiers for modeling of mineral potential, In: Bayesian Belief Networks: A Practical Guide to Applications, Eds. Olivier Pourret, Patrick Naim and Bruce G. Marcot, John Wiley & Sons, p. 149-171.

8.      Markwitz, V., Porwal, A. and Kreuzer, O. (2008), Regalpoint Uranium - CET Collaborative Research Project: Uranium models for exploration targeting, conceptual and empirical prospectivity analyses. CET technical report, the University of Western Australia, 166 pp.

9.      Kreuzer, O.P., Porwal, A.K., and Markwitz, V., (2007), The Regalpoint Uranium research project: objectives, approach and results. Confidential report to Transcontinental Group, Australia, 42 p., 13 maps, and 1 CD-ROM.

10.  Kreuzer, O.P., Porwal, A.K., and Markwitz, V., (2007), Uranium prospectivity analysis: Northern Territory, Queensland, South Australia and Western Australia. Confidential Report to Transcontinental Group, Australia, 18 p., 7 maps, and 1 CD-ROM.

11.  Kreuzer, O.P., Porwal, A.K., and Markwitz, V., (2007), The Regalpoint Uranium research project: objectives, approach and results. Confidential report to Transcontinental Group, Australia, 42 p., 13 maps, and 1 CD-ROM.

12.  Kreuzer, O.P., Porwal, A.K., and Markwitz, V., (2007), Uranium prospectivity analysis: Northern Territory, Queensland, South Australia and Western Australia. Confidential Report to Transcontinental Group, Australia, 18 p., 7 maps, and 1 CD-ROM.

International peer-reviewed journal papers

1.      Chudasama, B., Porwal, A., Gonzalez-Alvarez, I., Thakur, S., Wilde, A., Kreuzer, O. P. (2018) Surficial uranium systems in Western Australia: Prospectivity modelling and quantitative estimates of resources. Part 1: Origin of uranium deposits in surficial environments: A review. Ore Geology Reviews. (available on-line)

2.      Chudasama, B., Porwal, A., Gonzalez-Alvarez, I., Thakur, S., Kreuzer, O. P. (2018) Surficial uranium systems in Western Australia: Prospectivity modelling and quantitative estimates of resources. Part 2: Prospectivity modelling and exploration targets. Ore Geology Reviews. (available on-line)

3.      Chudasama, B., Thakur S., Muralikrishnan, L., Porwal, A., Gonzalez-Alvarez, I., Kreuzer, O. P. (2018) Surficial uranium systems in Western Australia: Prospectivity modelling and quantitative estimates of resources. Part 3: Quantitative estimation of undiscovered resources. Ore Geology Reviews. (available on-line)

4.      P. V. Arun, K. M. Buddhiraju and A. Porwal (2018) CNN based Sub-pixel Mapping for Hyperspectral Images. Neurocomputing (available on-line)

5.      Sarkar, R., Edgett, K. S., Singh, P., & Porwal, A., (2017) The light-toned stratified sedimentary rock exposures in western Juventae Chasma, Mars, in context. Icarus. https://doi.org/10.1016/j.icarus.2018.04.010

6.      Singh, P., Sarkar, R. and Porwal, A. (2018). Orbital Remote Sensing of Impact-Induced Hydrothermal Systems on Mars," Ore Geology Reviews, Available on-line

7.      Pal, M.K. and Porwal, A. (2017). Evaluation and modelling across-track illumination variation in Hyperion images using quadratic regression," International Journal of Remote Sensing,,Vol. :, 2017, pp.6790--6815,

8.      P. V. Arun, K. M. Buddhiraju and A. Porwal (2018). Integration of Contextual Knowledge in Unsupervised Subpixel Classification: Semivariogram and Pixel-Affinity Based Approaches, "IEEE Geoscience and Remote Sensing Letters, pp. 262-266,

9.      Guha, A., Rani, K., Kumar, V.K., Porwal, A., Sahoo, K.C., Kumar, A., Singhraju, S.R., Singh, V.R.P., Khandelwal, M.K., Diwakar, P.G. (2018) Reflectance spectroscopy and ASTER based mapping of rock-phosphate in parts of Paleoproterozoic sequences of Aravalli Craton, Rajasthan, India, Ore Geology Reviews, (Available on-line)

10.  Acharya, D., Porwal, A., & Bhattacharya, A. (2016). Remote detection of geological structures: an application to the Aravalli region, western India. Geocarto International, 1-17.

11.  Chudasama, B., Porwal, A., Kreuzer, O. P., & Butera, K. (2016). Geology, geodynamics and orogenic gold prospectivity modelling of the Paleoproterozoic Kumasi Basin, Ghana, West Africa. Ore Geology Reviews,78, 692-711.

12.  Porwal, A., Das, R. D., Chaudhary, B., Gonzalez-Alvarez, I., & Kreuzer, O. (2015). Fuzzy inference systems for prospectivity modeling of mineral systems and a case-study for prospectivity mapping of surficial Uranium in Yeelirrie Area, Western Australia. Ore Geology Reviews, 71, 839-852.

13.  Porwal, A., & Carranza, E. J. M. (2015). Introduction to the Special Issue: GIS-based mineral potential modelling and geological data analyses for mineral exploration. Ore Geology Reviews, 71, 477-483.

14.  Asadi, H. H., Porwal, A., Fatehi, M., Kianpouryan, S., & Lu, Y. J. (2015). Exploration feature selection applied to hybrid data integration modeling: Targeting copper-gold potential in central Iran. Ore Geology Reviews, 71, 819-838.

15.  Mohan, B. K., & Porwal, A. (2015). Hyperspectral image processing and analysis. CURRENT SCIENCE, 108(5), 833.

16.  Pal, M. K., & Porwal, A. (2015). A Local Brightness Normalization (LBN) algorithm for destriping Hyperion images. International Journal of Remote Sensing, 36(10), 2674-2696.

17.  Joly, A., Porwal, A., McCuaig, T. C., Chudasama, B., Dentith, M. C., & Aitken, A. R. (2015). Mineral systems approach applied to GIS-based 2D-prospectivity modelling of geological regions: Insights from Western Australia. Ore Geology Reviews, 71, 673-702.

18.  Xiao, K., Li, N., Porwal, A., Holden, E. J., Bagas, L., & Lu, Y. (2015). GIS-based 3D prospectivity mapping: A case study of Jiama copper-polymetallic deposit in Tibet, China. Ore Geology Reviews, 71, 611-632.

19.  Bhattacharya, A., Porwal, A., Dhingra, S, De, S., Venkataraman, G. (2015) Remote estimation of dielectric permittivity of lunar surface regolith using compact polarimetric synthetic aperture radar data, Advances in Space Research vol. 56, no.11, pp. 2439-2448.

20.  Lisitsin, V. A., Porwal, A., & McCuaig, T. C. (2014). Probabilistic fuzzy logic modeling: quantifying uncertainty of mineral prospectivity models using Monte Carlo simulations. Mathematical Geosciences, 46(6), 747-769.

21.  Lisitsin, V., Gonzalez-Alvarez, I., Porwal, A. (2013) Regional prospectivity analysis for hydrothermal-remobilised nickel mineral systems in western Victoria, Australia. Ore Geology Reviews Special Issue 52, 100-112.

22.  Yu, L., Porwal, A., Holden, E. J., & Dentith, M. C. (2012). Towards automatic lithological classification from remote sensing data using support vector machines. Computers & Geosciences, 45, 229-239.

23.  Joly, A., Porwal, A., & McCuaig, T. C. (2012). Exploration targeting for orogenic gold deposits in the Granites-Tanami Orogen: mineral system analysis, targeting model and prospectivity analysis. Ore Geology Reviews,48, 349-383.

24.  Yu, L., Porwal, A., Holden, E. J., & Dentith, M. C. (2011). Suppression of vegetation in multispectral remote sensing images. International journal of remote sensing, 32(22), 7343-7357.

25.  Markwitz, V., Maier, W. D., Gonzalez-Alvarez, I., McCuaig, T. C., & Porwal, A. (2010). Magmatic nickel sulfide mineralization in Zimbabwe: Review of deposits and development of exploration criteria for prospectivity analysis. Ore Geology Reviews, 38(3), 139-155.

26.  Koek, M., Kreuzer, O. P., Maier, W. D., Porwal, A. K., Thompson, M., & Guj, P. (2010). A review of the PGM industry, deposit models and exploration practices: Implications for Australia's PGM potential. Resources Policy,35(1), 20-35.

27.  Mamuse, A., Porwal, A., Kreuzer, O., & Beresford, S. (2010). Spatial statistical analysis of the distribution of komatiite-hosted nickel sulfide deposits in the Kalgoorlie terrane, western Australia: clustered or not? Economic Geology, 105(1), 229-242.

28.  Porwal, A., Gonzalez-Alvarez, I., Markwitz, V., McCuaig, T. C., & Mamuse, A. (2010). Weights-of-evidence and logistic regression modeling of magmatic nickel sulfide prospectivity in the Yilgarn Craton, Western Australia. Ore Geology Reviews, 38(3), 184-196.

29.  Bai, J., Porwal, A., Hart, C., Ford, A., & Yu, L. (2010). Mapping geochemical singularity using multifractal analysis: Application to anomaly definition on stream sediments data from Funin Sheet, Yunnan, China. Journal of Geochemical Exploration, 104(1), 1-11.

30.  Kreuzer, O.P., Markwitz, V., Porwal, A., McCuaig, T.C.M. (2010), A Continent-Wide Study of Australia's Uranium Potential. Part I: GIS-Assisted ("Manual") Prospectivity Analysis. Ore Geology Reviews, Available online 20 August 2010, ISSN 0169-1368, DOI: 10.1016/ j.oregeorev.2010.08.003

31.  Porwal, A. K., & Kreuzer, O. P. (2010). Introduction to the special issue: mineral prospectivity analysis and quantitative resource estimation. Ore Geology Reviews, 38(3), 121-127.

32.  Fallon, M., Porwal, A., & Guj, P. (2010). Prospectivity analysis of the Plutonic Marymia Greenstone Belt, Western Australia. Ore Geology Reviews, 38(3), 208-218.

33.  Gonzalez-Alvarez, I., Porwal, A., Beresford, S. W., McCuaig, T. C., & Maier, W. D. (2010). Hydrothermal Ni prospectivity analysis of Tasmania, Australia. Ore Geology Reviews, 38(3), 168-183.

34.  Mamuse, A., Beresford, S., Porwal, A., & Kreuzer, O. (2010). Assessment of undiscovered nickel sulphide resources, Kalgoorlie Terrane, Western Australia: Part 1. Deposit and endowment density models. Ore Geology Reviews, 37(3), 141-157.

35.  Koek, M., Kreuzer, O.P., Maier, W.D., Porwal, A., Thompson, M., and Guj, P. (2009), A review of the PGM industry, deposit models and exploration practices: Implications for Australian PGM potential. Resource Policy, v. 34 (3), p. 121-132.

36.  Mamuse, A., Porwal, A. and Kreuzer, O. (2009), A new method for spatial centrographic analysis of mineral deposit clusters. Ore Geology Reviews, v. 36(4), p. 292-305.

37.  McCuaig, T.C.M., Porwal, A. and Gessner, K. (2009), Fooling ourselves: recognizing uncertainty and bias in exploration targeting, CET Quarterly Newsletter, v 2(7), p. 1-8.

38.  Gessner, K. and Porwal, A. (2008), Tectonic controls on ore deposits in hot continental crust: thermal models and spatial analyses, CET Quarterly Newsletter, v 1(5), p. 9-11.

39.  Porwal, A. (2008), GIS-based mineral prospectivity mapping using hybrid neuro-fuzzy models, CET Quarterly Newsletter, v 1(5), p. 1-7.

40.  Porwal, A. (2007), Base-metal prospectivity mapping of the Aravalli Province, western India - A spatial mathematical approach. SGEG Newsletter, Geological Society of Australia, v. 4, p. 3-19

41.  Porwal, A., Carranza, E.J.M., and Hale, M. (2006), Bayesian network classifiers for mineral potential mapping. Computers & Geosciences, v. 32(1), p. 1-16.

42.  Porwal, A., Carranza, E.J.M., and Hale, M. (2006), Tectonostratigraphy and base-metal mineralization controls, Aravalli province (western India): new interpretations from geophysical data analysis. Ore Geology Reviews, v. 29(3-4), p. 287-306.

43.  Porwal, A., Carranza, E.J.M., and Hale, M. (2006), A hybrid fuzzy weights of evidence model for mineral potential mapping. Natural Resources Research, v. 15(1), p.1-14.

44.  Porwal, A., Carranza, E.J.M., and Hale, M. (2004), A hybrid neuro-fuzzy model for mineral potential mapping. Mathematical Geology, v. 36(7), 803-826.

45.  Porwal, A., Carranza, E.J.M., and Hale, M. (2003), Artificial neural networks for mineral potential mapping. Natural Resources Research, v. 12(3), 1-15.

46.  Porwal, A., Carranza, E.J.M., and Hale, M. (2003), Extended Weights-of-evidence modeling for predictive mapping of base-metal deposit potential in Aravalli Province, Western India. Exploration and Mining Geology, v. 10(4), 155-163.

47.  Porwal, A., Carranza, E.J.M., and Hale, M. (2003), Knowledge-driven and data-driven fuzzy models for mineral potential mapping. Natural Resources Research, v. 12(1), 1-25.

48.  Porwal, A., Carranza, E.J.M., Hale, M. (2002), Artificial neural networks for mineral potential mapping. Abstracts of Internal Symposium on Mineral Exploration, p. 18.

International peer-reviewed conference proceeding papers

1.      P. V. Arun, K. M. Buddhiraju and A. Porwal (2018), inversion of deep networks for modelling variations in spatial distributions of land cover classes across scales, In Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International, pp. 5658-5661. IEEE, 2017.

2.      Sarkar, R., Singh, P., Edgett, K. S., Ghosh, D., Porwal, A., 2018. Structural Characterization of Juventae Chasma and the Light-Toned Mounds Proceedings of the 49th Lunar and Planetary Science Conference, Houston, Texas, Abstract #2241.

3.      Singh, P., Sarkar, R., Porwal, A., & Phartiyal, B., 2017. The Diverse Channel Networks of Juventae Chasma, Mars. Proceedings of the 48th Lunar and Planetary Science Conference, Houston, Texas, Abstract #2603

4.      Sarkar, R., Edgett, K. S., Singh, P., & Porwal, A., 2017. Reappraisal of the Stratigraphic Position of Light Toned Materials in Juventae Chasma, Mars. Proceedings of the 48th Lunar and Planetary Science Conference, Houston, Texas, Abstract #2170

5.      Porwal, A., Lisitsin. V. "Uncertainty mapping in GIS-based prospectivity modelling," Target Conference, 2017, Perth,

6.      Pal, M. K., and A. Porwal. 2017. Topographic correction using brightness normalization approach from hyperspectral remote sensing images. In Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International, pp. 5658-5661. IEEE, 2017.

7.      Chudasama B., Lisitsin V. A., and Porwal A. (2017) Uncertainties in prospectivity analysis ofsurficial uranium mineral systems in Western Australia., Mineral Prospectivity Conference: Current approaches and future innovations, Orleans, France

8.      Chudasama B., Porwal, A., Thakur, S., Muralikrishnan, L., Kreuzer, O., Wilde, A. Surficial uranium systems in Western Australia: genesis, prospective tracts and undiscovered endowment. Target Conference, 2017, Perth

9.      Amrutkar, R., Parakh, K., Chudasama, B., Thakur, S., Aranha, M., & Porwal, A. (2016). Laboratory-based, field-based, and satellite-borne spectroscopy for lithological discrimination. In SPIE Asia-Pacific Remote Sensing (pp. 98801P-98801P). International Society for Optics and Photonics. (Poster)

10.  Parakh, K., Thakur, S., Chudasama, B., Tirodkar, S., Porwal, A., & Bhattacharya, A. (2016). Machine learning and spectral techniques for lithological classification. In SPIE Asia-Pacific Remote Sensing (pp. 98801P-98801P). International Society for Optics and Photonics. (Poster)

11.  Thakur, S., Chudasama, B., Porwal, A., & Gonzalez-Alvarez, I. (2016). Sub-surface paleochannel detection in DeGrussa area, Western Australia, using thermal infrared remote sensing. In SPIE Asia-Pacific Remote Sensing (pp. 98772C-98772C). International Society for Optics and Photonics. (Poster)

12.  Ahluwalia, A., Manickam, S., Bhattacharya, A., & Porwal, A. (2016). Urban area mapping from polarimetric SAR data using fuzzy inference system. In SPIE Asia-Pacific Remote Sensing (pp. 987721-987721). International Society for Optics and Photonics. (Poster)

13.  Pal, MK, Porwal, A (2016) Dimensionality Reduction of Hyperspectral Data: Band Selection Using Curve Fitting, SPIE Asia-Pacific Remote Sensing, 4 - 7 April 2016, New Delhi, India. (Poster)

14.  Pal M. K., Porwal A. (2016) Vegetation Suppression for Unveiling of Surface Lithology from Hyperspectral Images Using Linear Spectral Unmixing Approach, 2016 IEEE International Geoscience and Remote Sensing Symposium, 10 July - 15 July 2016, Beijing, China (accepted). (Oral)

15.  Pal M. K., Porwal A., 2016. Optimizing Classification Using Multi-Classifiers for Spaceborne Hyperspectral Dataset, WHISPERS-2016, 21 st -24 th August 2016, Los Angeles, California, USA (accepted).

16.  Sarkar, R., Singh, P., Porwal,A., 2016. Origin of Mass Wasting Features In Juventae Chasma, Mars. R. Sarkar, P. Singh, Ganesh. I, A. Porwal Proceedings of the 47th Lunar and Planetary Science Conference, Houston, Texas, Abstract #1876 (Poster)

17.  Singh, P., Sarkar, R., Ganesh. I., Porwal, A., 2016. Origin of Fluvial Channels in the Walls of Juventae Chasma: evidences of groundwater sapping? Proceedings of the 47 th Lunar and Planetary Science Conference, Houston, Texas, Abstract #1878 (Poster)

18.  Chudasama, B., Porwal, A., Kreuzer, O.P. (2015) Modelling gold prospectivity in the Paleoproterozoic Kumasi Basin, Ghana, West Africa, using fuzzy inference systems (FIS), Mineral Resources. In A Sustainable World, 13th SGA Biennial Meeting 2015. Proceedings, Volume 4, pp. 1583-1586 (Poster)

19.  Porwal, A., Chudasama, B., Das, R. D., Kreuzer, O.P. (2015) Surficial uranium targeting model and prospectivity mapping of the Yeelirrie Area, Western Australia, Mineral Resources. In A Sustainable World, 13th SGA Biennial Meeting 2015. Proceedings, Volume 5, pp. 1871- 1874 (Poster)

20.  Sarkar, R., Singh, P., Porwal, A., 2015. Identification of Aqueous Minerals and Subsurface/Interstitial Ice Signatures from a Crater in Thaumasia, Mars. Proceedings of the 46th Lunar and Planetary Science Conference, Houston, Texas, Abstract #1784 (Oral)

21.  Sarkar,R., Singh, P., Porwal,A., 2015. Ductile and Brittle Deformational Features Within the Light Toned Mounds of Juventae Chasma, Mars. Proceedings of the 46th Lunar and Planetary Science Conference, Houston, Texas, Abstract #1788 (Poster)

22.  Pal M. K., Porwal A., 2015. Spectral noise reduction and smoothing using local cubic least square regression from Hyperion reflectance data, 2015 IEEE 2nd International Conference on Signal Processing and Integrated Networks, pp. 752-755, 19-20 February, 2015, Amity University, Noida, Uttar Pradesh, India. (Oral)

23.  Pal M. K., Porwal A., 2015. Destriping of Hyperion Images Using Low-Pass- Filter and Local-Brightness- Normalization, 2015 IEEE International Geoscience and Remote Sensing Symposium, 26 July - 31 July 2015, Milan, Italy. (Poster)

24.  Sarkar, R., Porwal A., 2014. Light toned layers in a crater in Thaumasia, Mars. Proceedings of the 11th Annual Meeting Asia Oceania Geoscience Society, Sapporo, Japan,p. 336 (Oral)

25.  Joly, A., Aitken, A., Dentith, M., McCuaig, T. C., Porwal, A., Smithies, H., ... & Evans, S. (2012). Architecture and evolution of the West Musgrave Province, and implications for mineral prospectivity. ASEG Extended Abstracts, 2012(1), 1-4. (Oral)

26.  Koek, M., Kreuzer, O.P., Maier, W.D., Porwal, A., Thompson, M., and Guj, P. (2009), A review of the PGM industry, deposit models and exploration practices: Implications for Australian PGM potential. SGA meeting, Townsville, Australia.

27.  Fallon, M., Guj, P. and Porwal, A. (2009), Prospectivity Analysis of the Plutonic Marymia Greenstone Belt, Western Australia.  SGA meeting, Townsville, Australia.

28.  Gonzalez-Alvarez, I., Joly, A., McCuaig, T.C., Porwal, A. (2009), Potential Greenstone Belt Continuity Undercover, Zimbabwe. Eos Trans. AGU, 88(52), Fall Meet. Suppl., 2009.

29.   Porwal, A., Gonzalez-Alvarez, I., Markwitz, V., McCuaig, T.C., Mamuse, A. (2009), Regional-scale nickel sulfide prospectivity mapping of the Yilgarn Craton, Western Australia. SGA meeting, Townsville, Australia.

30.  Markwitz, V., Gonzalez-Alvarez, I., Maier, W., McCuaig, T.C., Porwal, A. (2009), Nickel Deposits in Archaean Greenstone Belts in Zimbabwe: Review and Prospectivity Analysis. SGA, Townsville, Australia.

31.  Porwal, A., (2008), Bayesian Network Classifiers for GIS-based mineral prospectivity mapping. Australian Earth Science Convention Abstracts p. 203.

32.  Porwal, A., (2008), Spatial mathematical models for mineral prospectivity mapping. Australian Earth Science Convention Abstracts p. 203.  

33.  Porwal, A. and Hale, M. (2000), GIS-based weights-of-evidence analysis for predictive mineral mapping: a case study from Aravalli province, western India, Proceedings of XIV International Conference on Applied Geologic Remote Sensing, Las Vegas, p. 377-384. 

34.  Porwal, A. and Sides, E.J. (2000), A predictive model for base metal exploration in a GIS environment. International Archives of Photogrammetry and Remote Sensing, v. XXXIII, part B7, Amsterdam, 1178-1184

SPONSORED RESEARCH PROJECTS (MAJOR PROJECTS)

1.      Fluvial valley networks in the southeastern Thaumasia highlands of Mars: 3D Morphometry, nature and sources, Sponsored by Indian Space Research Organization (2016-19).

2.      Compositional variability of lunar mare basalts in eastern Oceanus Procellarum over space and time: Insights from Chandrayaan I Hyperspectral Imaging Camera (HySi) and Terrain Mapping Camera (TMC) data, Sponsored by Indian Space Research Organization (2016-19).

3.      Origin of interior layered deposits of Juventae Chasma, Mars: Insights from detailed mineralogical, structural and stratigraphic mapping. Sponsored by Indian Space Research Organization (2016-19).

4.      3D crustal modeling and resource potential mapping of deep-seated mineral deposits in the Aravalli province, India, Sponsored by IIT Bombay (2011-16).

5.      Mineral prospectivty modeling of Myanmar. Sponsored by Petro Gold, Dubai (2012-13).

6.      Prospectivity modelling of greenfields regions in Western Australia. Sponsored by Geological Survey of Western Australia (2009-2012).

7.      Orogenic gold prospectivity mapping of Granite-Tanami Orogen, Western Australia. Sponsored by Tanami Gold NL. (2008-09).

8.      Orogenic gold prospectivity mapping of Plutonic-Marymia Greenstone Belt (PGMB), Western Australia. Sponsored by Barrick Gold (2008-09).

9.      Continent-wide uranium prospectivity analysis of Australia. Sponsored by Regalpoint Uranium (2007-2008).

10.  Global nickel prospectivity analysis. Sponsored by TRG Australia (2007-08).

11.  Gold prospectivity analysis of Australia. Sponsored by AusGold Ltd (2007).