Dr. K. C. Tiwari

Dr (Col) KC Tiwari is a professor of Civil Engineering. He has served in the Indian Army Corps of Engineers for ~ 20 years. Dr Tiwari has pursued PhD in Target Detection Using Optical and Microwave Remote Sensing, rpioer to this has a Masters in Engineering in CAD (Civil) and Post-Graduate Diploma in International Marketing. He has an extensive experience of teaching and research in remote sensing, military target detection and image processing. He has been istrumental in establishing a new multidisciplinary department of Geospatial Science and Technology at Delhi Technological University.

ï‚· Principles of Remote Sensing

ï‚· Fundamentals of Geographic information System

ï‚· Digital Image Processing

ï‚· Advanced image Processing

ï‚· Target Detection

ï‚· Biodiversity Studies and Environment

ï‚· Introduction to Geospatial Science, Cognition and Remote Sensing

ï‚· Introduction to Earth and Environmental Science

ï‚· Introduction to Surveying, Mapping, Geodesy and GNSS

ï‚· Principles of optical Thermal and Hyperspectral Remote Sensing

ï‚· Microwave and LiDAR Remote Sensing

Fellow of the Indian Society of Geomatics 2025

Fellow and Charted Engineer of Institution of Engineers (F-1271837)

SPIE Inc, USA-Life Membership No 3091206, Life(Since 2011)

IEEE Geoscience Society Membership No – 94499420, Annual(Since 2011).

Indian Society of Remote Sensing, Membership ID - L-4950, Life(Since 2017)

Indian Society of Geomatics, Membership ID - ISG L-2008, Life(Since 2017)

Institution of Military Engineers, College of Military Engineering, Pune, Life (Since 1990)

United Service Institution, New Delhi, Life (Since 2012)

Institute of Defence Services and Analysis, Life (Since 2012)

International/ National Journals

ï‚· Yadav, J., Mitra, A. K., & Tiwari, K. C. (2025). Overview of Brihat Samhita rainfall prediction methodology over the Indian region and its utilization by machine learning technique. Journal of Earth System Science, 134(4), 1-18.

ï‚· Kapuganti, D. K., Tiwari, K. C., & Areendran, G. (2025). Assessing land surface temperature dynamics and urban heat island effects in Delhi: a multi-temporal analysis and future projections. Environmental Monitoring and Assessment, 197(10), 1094.

ï‚· Jain, S., Sethia, D., & Tiwari, K. C. (2024). Developing novel spectral indices for precise estimation of soil pH and organic carbon with hyperspectral data and machine learning. Environmental Monitoring and Assessment, 196(12), 1255.

ï‚· Tuljapurkar, V., & Tiwari, K. C. (2024). Spatial Risk Assessment and Geographic Information System based Approach for Construction Projects Risk Management. Wireless Personal Communications, 139(1), 209-245.

ï‚· Jain, S., Sethia, D., & Tiwari, K. C. (2024). A critical systematic review on spectral-based soil nutrient prediction using machine learning. Environmental Monitoring and Assessment, 196(8), 699.

ï‚· Rongali, G., Tiwari, K. C., & Vishwas, P. (2024). Mapping of glacial lakes and glacial lake outburst flood in Lahul and Spiti district using remote sensing and GIS. In Flood risk management: Assessment and strategy (pp. 49-68). Singapore: Springer Nature Singapore.

ï‚· Jain, S., Sethia, D., & Tiwari, K. C. (2024, May). Comparative Analysis of Machine Learning Based Soil pH Prediction Using Spectral Bands and Indices. In International Conference on Agriculture-Centric Computation (pp. 43-55). Cham: Springer Nature Switzerland.

ï‚· Singh, S., & Tiwari, K. C. (2024). SAR and optical pixel level fusion methods and evaluations. Journal of Spatial Science, 69(1), 1-21.

ï‚· Vishwas, P., Tiwari, K. C., Rongali, G., & Vohra, R. (2024). Mapping of Glacial Lakes and Glacial Lake Outburst Flood in Kinnaur District, Himachal Pradesh Using Remote Sensing and GIS. In Advanced Geospatial Practices in Natural Environment Resource Management (pp. 109-128). IGI Global Scientific Publishing.

ï‚· Gakhar, S., & Tiwari, K. C. (2024). Extraction of urban targets using fusion of spectral and shape features in aviris-ng hyperspectral data: Use of hyperspectral data for detecting roads and roofs. In Advanced Geospatial Practices in Natural Environment Resource Management (pp. 167-188). IGI Global Scientific Publishing.

ï‚· Vohra, R., & Tiwari, K. C. (2023). Analysis of land use and land cover changes and their impact on temperature using landsat satellite imageries. Environment, Development and Sustainability, 25(8), 8623-8650.

ï‚· Vohra, R., & Tiwari, K. C. (2023). Land cover classification using multi-fusion based dense transpose convolution in fully convolutional network with feature alignment for remote sensing images. Earth Science Informatics, 16(1), 983-1003.

ï‚· Rawat, M., Ahmed, R., Jain, S. K., Lohani, A. K., Rongali, G., & Tiwari, K. C. (2023). Glacier–glacial lake changes and modeling glacial lake outburst flood in Upper Ganga Basin, India. Modeling Earth Systems and Environment, 9(1), 507-526.

ï‚· Gakhar, S., & Tiwari, K. C. (2022). Detection of engineered surfaces using deep learning approach in AVIRIS-NG hyperspectral data. Geocarto International, 37(23), 6932-6952.

ï‚· Srivastava, A., & Tiwari, K. C. (2022). Identification of Vulnerable Lakes in Chenab River Basin of Western Himalayan Region. International Journal of COMADEM, 25(4).

ï‚· Pandey, D., & Tiwari, K. C. (2022). New spectral indices for detection of urban built-up surfaces and its sub-classes in AVIRIS-NG hyperspectral imagery. Geocarto International, 37(7), 1949-1970.

ï‚· Pandey, D., & Tiwari, K. C. (2022). Feature identification and extraction of urban built-up surfaces and materials in AVIRIS-NG hyperspectral imagery. Geocarto International, 37(6), 1722-1743.

ï‚· Singh, S., & Tiwari, K. C. (2021). Exploring the optimal combination of image fusion and classification techniques. Remote Sens Appl Soc Environ 24: 100642.

ï‚· Gakhar, Shalini, and Kailash Chandra Tiwari (2021), “Comparative assessment of target detection algorithms for urban targets using hyperspectral data- Photogrammetric Engineering & Remote Sensing”, Publisher-American Society of Photogrammetry and Remote Sensing

ï‚· Gakhar, Shalini, and Kailash Chandra Tiwari. "Spectral–spatial urban target detection for hyperspectral remote sensing data using artificial neural network." The Egyptian Journal of Remote Sensing and Space Science 24, no. 2 (2021): 173-180

ï‚· Dwijendra Pandey, K. C. Tiwari (2021). Development of Spectral Index for Road Condition and Roof Deterioration Analysis using AVIRIS-NG and Field Hyperspectral Data. PFG – Journal of Photogrammetry, Remote Sensing and Geo-information Science.

ï‚· Dwijendra Pandey, K. C. Tiwari (2021). Spectral Library Creation and Identification of Significant Wavelengths for Urban Built-Up Surfaces and Materials using Field Spectrometry. Arabian Journal of Geosciences ï‚· Dwijendra Pandey and K. C. Tiwari. 2020. Extraction of Urban Built-up Surfaces and Its Subclasses using Existing Built-up Indices with Separability Analysis of Spectrally Mixed Classes in AVIRIS-NG Imagery. Advances in Space Research.

ï‚· Dwijendra Pandey and Tiwari K.C (2020). Feature Identification and Extraction of Urban Built-up Surfaces and Materials in AVIRIS-NG Hyperspectral Imagery. Geocarto International.

ï‚· Dwijendra Pandey, Tiwari K.C (2020) Performance evaluation and comparative assessment of Sentinel-2B, Landsat-8 and AVIRIS-NG sensor imageries for extraction of road and roof surfaces using different algorithms. Journal of Applied remote Sensing. ï‚· Dwijendra Pandey, Tiwari K.C (2020). New Spectral Indices for Detection of Urban Built-Up Surfaces and its Subclasses in AVIRIS-NG Hyperspectral Imagery, Geocarto International.
ï‚· Bhandari, A. & Tiwari, K.C. (2020). A Euclidean Distance based Super Resolution method for Sub Pixel target detection in Hyperspectral Image. GIS Business

ï‚· Bhandari, A. & Tiwari, K.C. (2019). Loss of target information in full pixel and subpixel target detection in hyperspectral data with and without dimensionality reduction. Evolving Systems.1-16. https://doi.org/10.1007/s12530-019-09265-w.
ï‚· Vohra, R., Tiwari, K.C. (2020) Comparative Analysis of SVM and ANN Classifiers using Multilevel Fusion of Multi-Sensor Data in Urban Land Classification. Sensing and Imaging 21, 17. https://doi.org/10.1007/s11220-020-00280-9
ï‚· Rubeena Vohra, K.C. Tiwari, (2019), Multisensory Decision Level Fusion for Improvement in Urban Land Classification, Recent Advances in Computer Science and Communications, December 2019, Bentham Science Publishers, DOI: 10.2174/2666255813666191223120621

ï‚· Vohra, R. & Tiwari, K.C. (2019). Spatial shape feature descriptors in the classification of engineered objects using high spatial resolution remote sensing data. Evolving Systems. https://doi.org/10.1007/s12530-019-09275-8.

ï‚· Yadav, D., Arora, M., Tiwari, K., & Ghosh, J. (2018). Detection and Identification of Camouflaged Targets using Hyperspectral and LiDAR data. Defence Science Journal, 68(6), 540-546.
ï‚· Deepti Yadav, M. K. Arora, K. C. Tiwari and J. K. Ghosh (2017)” Identification of most useful spectral ranges in improvement of target detection using hyperspectral data”, Egyptian Journal of Remote Sensing and Space Science, Elsevier.
ï‚· Deepti Yadav, M. K. Arora, K. C. Tiwari and J. K. Ghosh (2017) ”Parameters effecting detection in VNIR and SWIR range”, Egyptian Journal of Remote Sensing and Space Science, Elsevier, Oct 2017. doi.org/10.1016/j.ejrs.2017.08.004.
ï‚· Rubeena Vohra, Tiwari K C, (2017), ‘Object based classification using multisensor data fusion and support vector algorithm’ International Journal of Image and data Fusion, DOI.Org/10.1080/19479832.2017.1372524.

ï‚· Rubeena Vohra & K. C. Tiwari (2015). A Review and Assessment of Fusion Algorithms on Gray Scale Images. International Journal of Electronics, Electrical and Computational System, 4, 94-102.

ï‚· Tiwari K C, D Yadav, Arora M K, Singh, (2013), ‘Subpixel Target Enhancement in Hyperspectral Images’ Vol. 63, No. 1, pp. 63-68 of Defence Science Journal (DSJ), January 2013.
ï‚· Tiwari K C, D Yadav, Arora M K, Singh D, Yadav D. (2013) Military target detection using spectrally modeled algorithms and independent component analysis, Opt. Eng. 52 (2), 026402 (February 04, 2013); doi: 10.1117/1.OE.52.2.026402
ï‚· Tiwari K C, D Yadav, Arora M K, Singh D, (2012), Shallow buried Non-metallic landmine detection and estimation of its depth in microwave X-band, International Journal of Remote Sensing Applications.
ï‚· Tiwari K C, Arora M K, Singh D, (2011), An Assessment of Independent Component Analysis for Detection of Military Targets from Hyperspectral Images, Journal title: International Journal of Applied Earth Observations and Geoinformation.
ï‚· Singh D, Choudhary N. K, Tiwari K. C, Prasad R, (2009), “Shape Recognition of Shallow Buried Metallic Objects at X-Band using ANN and Image Analysis Techniques”, Progress In Electromagnetics Research, PIER.
ï‚· Tiwari K C, Singh D, Arora M K, Singh K P, (2009), Critical Analysis of Polarization Transforms with Image Analysis Techniques for Detection of Shallow Buried Non-Metallic Landmines at X-band, Progress In Electromagnetics Research, PIER
ï‚· Tiwari K C, D Singh, Arora M K, (2008), “Development of a Model for Detection and Estimation of Depth of Shallow Buried Non-Metallic Landmine at Microwave X-Band Frequency” Published in Progress In Electromagnetics Research, PIER, 2008.

ï‚· Tiwari, K. C, (2001), Neural Network Parameters Affecting Image Classification”, Defence Science Journal- Special Issue, Vol. 51, No – 3. Published by DESIDOC, DRDO India.
ï‚· Arora, M. K., Tiwari, K. C., and Mohanty, B., (2000), Effect of Neural Network Variables on Image Classification”, Asian Pacific Remote Sensing and GIS Journal, Vol. 13, 1 – 11.

Military Journals
ï‚· Tiwari K C, (2009), Remote Sensing, GIS and GPS Technologies in Future Civil Engineering Construction & Planning”, Sapper Magazine, Published by Indian Military Engineers..
ï‚· Tiwari K C, (2004), “GIS for Corps of Engineers, Indian Army”, Sapper Magazine,
Sapper Magazine, Published by Indian Military Engineers. (Third BEWOOR ESSAY Prize winner).

International / National Conference

ï‚· Jaya Yadav, Kailash C Tiwari, Ashim K Mitra, Monsoon Rainfall Prediction in India: A Hybrid Framework Combining Brihat Samhita Insights to Machine Learning Technique. International Symposium on Tropical Meteorology (INTROMET), 2025 November.

ï‚· Prachi, Tiwari, K. C., & Katariya, R. (2025, September).Dynamics of chlorophyll-turbidity relationship in the Yamuna River, Delhi: multisensory remote sensing-based assessment. In 2025 IEEE International conference on NextGEN Technologies for Artificial Intelligence and Geoscience Remote Sensing (EarthSense). IEEE.

ï‚· Kapuganti, D. K., Tiwari, K. C., & Areendran, G. (2025, September). Assessing the impact of vegetation clustering on land surface temperature: a spatial analysis in Southern Delhi. In 2023 IEEE International conference on NextGEN Technologies for Artificial Intelligence and Geoscience Remote Sensing (EarthSense). IEEE.

ï‚· Kapuganti, D. K., Tiwari, K. C., & Areendran, G. (2025, August).A synergistic thermal image sharpening approach to analyse the cooling effects of urban biodiversity parks in Delhi India. In 2025 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE.

ï‚· Avinash Kumar, Kailash C Tiwari, T Vijaya Kumar, A comprehensive comparative review of water quality index methods for surface water quality assessment, In 2025 International Conference on Advanced in Water Resources (AwaRe), 2025, July

ï‚· Anand Sebastian, kailash C tiwari (2025, March). Advancing Earth Observation Techniques for Modeling Optical and Non-Optical Surface Water Quality Parameters. In International Conference on River Resilience: Environmental Flows to River Health through the Lens of Ecosystem Services (ICRR 2025).

ï‚· Jaya Yadav, Kailash C Tiwari, Ashim K Mitra, A Review of Ancient and Modern Rainfall Prediction Methods over Indian Region. In International conference on Recent Advances in Artificial Intelligence, Communication and Electronic Systems (RAICE), 2025, January

ï‚· Jain, S., Sethia, D., & Tiwari, K. C. (2025, March). CNViS-Net: A Self-Attention Framework for Predicting Soil Nutrients from Hyperspectral Data. In 2025 International Conference on Frontier Technologies and Solutions (ICFTS) (pp. 1-8). IEEE.

ï‚· Sharma, K., & Tiwari, K. C. (2023, December). Hyper-Sharpening For Urban Feature Extraction. In 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 1-4). IEEE.

ï‚· Gakhar, S., Patwar, S., Sharma, S., & Tiwari, K. C. (2023). Leveraging the role of computer vision in agriculture applications.

ï‚· Jain, S., Sethia, D., & Tiwari, K. C. (2023, October). A hybrid approach for soil nutrient estimation using multispectral data in Belgium and Luxembourg. In 2023 first international conference on advances in electrical, electronics and computational intelligence (icaeeci) (pp. 1-8). IEEE.

ï‚· Rongali, G., Tiwari, K. C., & Vishwas, P. (2022). Potentially Dangerous Glacial Lake Risk Mapping and Assessment in Satluj River Basin, Himachal Pradesh Using Remote Sensing and GIS. In Recent Trends in River Corridor Management: Select Proceedings of RCRM 2021 (pp. 245-260). Singapore: Springer Nature Singapore.

ï‚· Gautam, S., & Tiwari, K. C. (2021, November). Effective Hyperspectral Image Classification Using Learning Models. In International Conference on Artificial Intelligence and Speech Technology (pp. 626-640). Cham: Springer International Publishing.

ï‚· Deepti Yadav, M. K. Arora, K. C. Tiwari and J. K. Ghosh (2017),” Detection and Identification of targets using fusion of hyperspectral and LiDAR data”, in Proc. Asian Conference on Remote Sensing (ACRS), Oct 23-27, 2017 Delhi, India.
ï‚· Deepti Yadav, M. K. Arora, K. C. Tiwari, J. K. Ghosh (2016) “Performing target specific band reduction using artificial neural networks and assessment of its efficacy using various target detection algorithms” Proc. SPIE 9845, Optical Pattern Recognition XXVII, 984507 (April 20, 2016); doi:10.1117/12.2224429.
ï‚· Deepti Yadav ; M. K. Arora ; K. C. Tiwari and J. K. Ghosh. (April 30, 2016), " An assessment of effects of various parameters on performance of target detection using hyperspectral data ", Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 98802, doi:10.1117/12.2223921.
ï‚· Rubeena Vohra ; K.C. Tiwari. (April 30, 2016), "Multisensor Multiresolution Data Fusion for Improvement in Classification" Proc. of SPIE Vol. 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, Proc SPIE 9880:98800X .

ï‚· A. Amrita, Tiwari K.C, (30 April 2016), “A comparative assessment of various super-resolution techniques in target detection and enhancement using hyperspectral data”, Proc. of SPIE Vol. 9880, , Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 98801V.
ï‚· Deepti Yadav ; M. K. Arora ; K. C. Tiwari and J. K. Ghosh. (April 20, 2016), " Performing target specific band reduction using artificial neural networks and assessment of its efficacy using various target detection algorithms "Proc. SPIE 9845, Optical Pattern Recognition XXVII, 984507.
ï‚· Avijit Pathak ; K. C. Tiwari. (April 18, 2016), " A study of neural network parameters for improvement in classification accuracy", ", Proc. SPIE 9840, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII.
ï‚· Deepti Yadav, M. K. Arora, K. C. Tiwari and J. K. Ghosh, "Spectral discrimination using neural network for target detection," 2015 National Conference on Recent Advances in Electronics & Computer Engineering (RAECE), Roorkee, India, 2015, pp. 154-159. doi: 10.1109/ RAECE.2015. 7510245 , URL: http:// ieeexplore.ieee.org /stamp/ stamp.jsp?tp=& arnumber=7510245& isnumber=7509876)
ï‚· Rubeena Vohra; K.C. Tiwari (September 2015), "Review and Assessment of Fusion Algorithms on Gray Scale Images" International Journal of Electronics, Electrical and Computational System IJEECS, ISSN 2348-117X , Volume 4,).

ï‚· Amrita Bhandari, K.C. Tiwari , (September 2015), "A Review of Spectral Unmixing Techniques in Target Detection", International Journal of Engineering Technology, Management and Applied Sciences, , Volume 3, Special Issue,
ï‚· Tiwari K C, D Singh, Arora M K (2010), “Detection of Shallow Buried Non-Metallic Landmines in Microwave X-Band Region Using Multipolarization Data”, SPIE Defence Security and Sensing Conference 2010 (USA).
ï‚· Tiwari K C, Arora M K, D Singh, (2010), “Subpixel Target Detection and Enhancement in Hyperspectral Images”, SPIE Defence Security and Sensing Conference 2010 (USA).
ï‚· Tiwari K C, (2010), “Image Intelligence using Optical and Microwave Data”, Geo Intelligence Asia 2010 at New Delhi (India) from 01-03 June 2010.
ï‚· Tiwari K C, Arora M K, D Singh, (2009), “Detection Of Shallow Buried Non-Metallic Landmine And Estimation of Its Depth At Microwave X-Band Frequency”, SPIE Defence Security and Sensing Conference 2009 (USA).
ï‚· Tiwari K C, Arora M K, D Singh, (2007), “Algortihm Overview Based on Image Processing with Electromagnetic (EM) Techniques in X – Band and GA approach for Depth Estimation of Shallow Buried Dummy Mines”, Published in proceedings of IEEE Conference - Radar 2007.

ï‚· Tiwari K C, Arora M K, D Singh, (2007), “ICA analysis of polarization data in Microwave X-Band Region for Detection of shallow buried non-metallic dummy landmines without explosives.”, SPIE Defence Security and Sensing Conference 2007.
ï‚· Tiwari K C, D Singh, Arora M K, ( Oct 2006), “Detection and estimation of shape of shallow buried non-metalic landmines using signal and image analysis techniques from microwave remote sensing data”, - Published in proceedings of national conference on microwave techniques and applications (Microwave 2006)” under the aegis of University of Rajasthan.
ï‚· Tiwari K C, Arora M K, D Singh, (2006), “Detection and estimation of depth of shallow buried non-metallic landmines using signal and image analysis techniques in microwave region in X band”. Presented during the SPIE Asia Pacific Remote Sensing Conference being held under the auspices of National Institute of Oceanography, Panaji, Goa from 13 to-17-Nov-06
ï‚· Tiwari K C, D Singh, Arora M K, (Dec 2006), “Development of polarimetric transforms for detection of shallow buried non-metallic landmines in microwave X – band region”,Published in the proceedings of 3rd international conference on microwaves, antenna propagation and remote sensing, 06. (BEST PAPER AWARD)
ï‚· Tiwari K C, (2005), "Architectural and Structural Considerations for Civil Engineering Construction & Planning in Coastal Areas Likely to Encounter Tsunami", Published in Seminar Proceedings on “Civil Engineering Construction & Planning in Coastal Areas Likely to Encounter Tsunami” held at Port-Blair, Andaman & Nicobar Islands under the aegis of Engineers Branch, Army HQ.
ï‚· Tiwari K C, (2001), "Earthquake Prediction using Neural Networks”, Published in the proceedings of National Conference organized under the aegis of Indian Surveyors Journal held at Siri Fort Stadium, New Delhi.-

ï‚· Addressing Environmental Challenges Through Spatial Planning – IGI Global publishers (in progress)
ï‚· Target Detection using Hyperspectral Remote Sensing, In Progress.
ï‚· Disaster Management, Manuscript stage.
ï‚· Introduction to Unit Accounts, Published in BEG & Centre Roorkee (Army) in 2003
ï‚· An Introduction to GIS and EGIS, Published in BEG & Centre Roorkee (Army) in 2003.
ï‚· Basic IT Ref Manual, Published in BEG & Centre Roorkee (Army) in 2003.
ï‚· Handbook for SKsT on Care, Conservation and Preservation of Stores, Published in BEG & Centre Roorkee (Army) in 2003.
ï‚· Workbook of Army Forms, Published in BEG & Centre Roorkee (Army) in 2003.
ï‚· Workbook of Military Writing and Minor SD, Published in BEG & Centre Roorkee (Army) in 2003.

ï‚· National Geospatial Faculty Fellow conferred by the National Geospatial Awards 2024, IIT Bombay FOSSEE

ï‚· Nodal Faculty Coordinator for Military Geospatial Intelligence to Dr. (Col) Kailash Chandra Tiwari from IIT Bombay FOSSEE GIS (NMEICT)

ï‚· Best University award to Delhi Technological University, from National Geospatial Awards 2024, IIT Bombay FOSSEE GIS

ï‚· Open-Source Geospatial Knowledge Partner certificate of recognition to Delhi technological University, from IIT Bombay FOSSEE GIS

ï‚· Excellence in Geospatial Leadership to Prof Prateek Sharma, Vice Chancellor, DTU from IIT Bombay FOSSEE GIS (NMEICT)

ï‚· National Geospatial Faculty Fellow Awards to Dr (Col) Kailash Chandra Tiwari from National Geospatial Awards, IIT Bombay FOSSEE GIS

ï‚· Award of Fellow of Indian Society of Geomatics 2025 to Prof KC Tiwari, by ISG

ï‚· DTU Research Excellence Award for Research Paper, Delhi Technological University, 2021
ï‚· National Geospatial Chair, Deptt of Science and Technology, Govt of India, Delhi, 2017-2020.
ï‚· Best Paper Award at 3rd international conference on microwaves, antenna propagation and remote sensing on “Development of polarimetric transforms for detection of shallow buried non-metallic landmines in microwave X – band region”, 2006.
ï‚· Bewoor Essay Prize winner (Third)- “GIS for Corps of Engineers, Indian Army”, published in Sapper Magazine, (Army), 2004.
ï‚· Army Service Medals (OP Parakram, Rashtriya Rifles (Active Insurgency), High Altitude), During Army service between 1988 to 2010
ï‚· HMT award of Merit for rank in Class X in State (A & N Islands), 1980
ï‚· National Scholarship for Meritorious Students, 1980 – till 1986

Sponsered Projects

Ongoing Projects

1. Ci3Hub IIT Kanpur research project- Drone Navigation in GPS-Denied Environments, Funding Agency- Ci3Hub IIT Kanpur, JRF- Mr Animesh Pandey

Completed Research projects

1. ISRO (SAC) AVIRIS NG Project, Title - Mapping impervious surfaces from temporal multi-sensor multiresolution data and its area estimation using super-resolution, â€‹Funding agency - SAC (ISRO), RA - Ms Amrita Bhandari

2. DST- DRDO-NRDMS Project, Title - Detection and identification of engineered surfaces and objects using Hyperspectral remote sensing (HSRS) data, Funding Agency - DST, JRF - (a) Mr Dwijendra Pandey (b) Ms Shalini Gakhar

3.  DST Women Scientist Project, Title - An assessment and impact of urbanization in South Delhi (India) on the environment quality and dIsaster management using remote sensing and GIS, Funding agency - DST, Scientist - Ms Mahima Singh

4. MoES & CC- NMHS Project, Title-Inventorisation of Glacial Lakes and Glacial Lake Outburst Flood (GLOF) Study in the Western Himalaya, India using Remote Sensing and GIS, Funding agency-NMHS, SRF- (a) Mr Gopinadh Rongali (b) JRF- Ms. Poonam Vishwas

5. DST- NGCP Project, Title- National Geospatial Chair Professor Scheme, Funding agency-DST, JRF- (a) Ms Tanisha Jaiswal (b) Mr  Mayur Sanjay Shelhalkar

Consultancy Projects
ï‚· Survey and Physical Verification of Boundary Pillars at Mathura Cantt - 2677 acres, Rs 22, 00,000/-, Completed.
ï‚· Survey and Physical Verification of Boundary Pillars at Agra Cantt - 2878 acres, Rs 22,00,000/-, Completed.
ï‚· PWD Third Party Investigating Agency Work - Prembari Pul to Azadpur, Rs 90,73,571/-, Completed.
ï‚· PWD Third Party Investigating Agency Work - Mukarba Chowk to Wazirabad Chowk, Rs 1,99,99,000/-, In progress.
ï‚· PWD Third Party Investigating Agency Work - Parallel Road (Mukarba to Wazirabad), Rs 69,90,000/-, Completed.
ï‚· PWD Mukarba Chowk , New Delhi, Third party Inspection on Construction of bridge at Basai Darapur, Nagloi, Inderlok, Karampura and Rampura underpass in Delhi - Rs 59.84 lakh, 24-05 2019, (24 + 6) months.
ï‚· PWD, JLN Stadium, New Delhi, Third party Inspection on Construction of underpass at Mathura Road, Ashram Chowk, New Delhi - Rs 21.59 lakh, 01-11-2019 (15 +6) months
ï‚· PWD, Flyover Division, F-31, New Delhi, TPQA of Traffic Decongestion plan of ring road & Aurobindo marg , Kidwai Nagar New Delhi - Rs 3.42lakh, 16 -12- 2020 - 10 months
ï‚· Health Division (East), PWD (GNCTD), R.G.S.S Hospital campus Tahirpur, Delhi-93, TPQA of Construction of 460 Beds Mother and Child care Hospital Block at LBSH Khichripur, Delhi - Rs 14.09 lakh, 02-02- 2021 - (15 +6) months.
ï‚· Health Project Division (Central) PWD (GNCTD), LNJP Hospital, New Delhi-110002, Third Party Inspection / Quality Assurance Services for the work “Construction of Hospital at Madipur, New Delhi- Rs 52.59 Lakh, 11-02- 2021 - (24+6) months

Research Guidance
Ph.D (Completed)
ï‚· Ms Deepti yadav, M.Tech (CSE), 2012-17, Title –Camouflage Target detection in Hyper-spectral Data
ï‚· Ms Rubeena Vohra, M.Tech (ECE), 2013-19, Title –'Object based classification in Hyper-spectral Data,
ï‚· Ms Amrita Bhandari, M.Tech (IT), 2013-20, Title –Super resolution mapping and target enhancement in Hyper-spectral Data.
ï‚· Mr Dwijendra Pandey, M.Tech (Geoinformatics), 2017- 2020, Title – Detection and Identification of Engineered Surfaces using Imaging Spectrometry.
ï‚· Ms Shalini Gakhar, M.Tech (IT), 2017- till date, Title—Development of Spectral Spatial Strategies for Detection of Engineered Objects Using Hyperspectral Data.

ï‚· Mr Anupam Srivastava, (Civil), 2014 –till date, Title – Integrated approach to disaster management in Himalayan region.
ï‚· Mr Sanjay Singh, M.Tech (ECE), 2015-till date, Title - Object Detection Using Fusion Of Multi-Band Microwave Data.

Ph.D (In Progress)
ï‚· Ms Jaya Yadav, M.Tech (Geomatics), 2021- till date, Title—Rainfall Prediction Using Remote Sensing Data (Tentative).
ï‚· Ms Dyvavani Krishna, M.Tech (Remote Sensing and GIS), 2022- till date, Title—Assessment and MitigationStrategies for Urban Heat Islands in Delhi Region.

ï‚· Mr Avinash Kumar, M.Tech (Civil Engineering), 2023- till date, Title—Assessment of River Water Surface Quality Parameters Using Earth Observation Data and In-situ data

ï‚· Mr Anand Sebastian, MSc (Geoinformatics), 2023- till date, Title—Developing Alternative Geospatial Models for Estimation of River Surface Water Quality Parameters

ï‚· Ms Kamini Sharma, MTech (Geoinformatics), 2024- till date, Title—Prediction and Impact Assessment of Landslides and Debris Flow

ï‚· Ms Prachi, MSc (Geoinformatics), 2024- till date, Title—Spatio-Temporal Analysis of Yamuna River Water Quality and its Floodplains

ï‚· Ms Prachi Mishra, MSc (Geoinformatics), 2024- till date, Title—Analysis of Waste Composition and Impact Assessment of Landfills

Research guidance (Post-Doc- ICSSR)

Ms Poonam Vishwas, NPDF, ICSSR, 2024- till date, Title—Investigating the Mechanisms and Causes of Land Subsidence in the Himalayas Using Space-borne NASA ISRO Synthetic Aperture Radar (NISAR) Measurements and in situ Observations

Setting a Start-up under the GOI National Innovation and Start Up initiative. The Start-up is based on a DST project. The name of the Start-up is, GESEME which stands for Geo-Enabled Socio-Economic Matchmaking Effort.