Google Scholar Profile: https://scholar.google.co.in/citations?user=15sE22kAAAAJ&hl=en  

* Corresponding author, # - supervised student. 

1. 1. Nikunj K. Mangukiya, Anupal Baruah, Diganta Barman, B. M. Arjun, Ashutosh Sharma* (2025) Integrating Analytical Hierarchy Process and Machine Learning for Enhancing Flood Hazard Mapping, ASCE Natural Hazards Reviews, https://doi.org/10.1061/NHREFO.NHENG-2188
   2. Gopeshwar Sahu^#, Nikunj K. Mangukiya^#, Ashutosh Sharma* (2025). Does MC-LSTM model improve the reliability of streamflow prediction in human-influenced watersheds? Journal of Hydrology, 134711. https://doi.org/10.1016/j.jhydrol.2025.134711
   3. GE Nagashree^#, Ashutosh Sharma* (2025). Evaluating sectoral water use and precipitation variability on blue water scarcity under historical and future climate conditions in the Mahi River Basin. Agricultural Water Management, 322, 110006. https://doi.org/10.1016/j.agwat.2025.110006
   4. Akriti Singh^#, Ashutosh Sharma* (2025). Agricultural catchments exhibit enhanced climate and drought resilience compared to forested catchments in Peninsular India. Journal of Hydrology, 134618. https://doi.org/10.1016/j.jhydrol.2025.134618
   5. Nikunj K. Mangukiya^#, Ashutosh Sharma* (2025) Integrating Reservoir Dynamics into Differentiable Process-Based Hydrological Model for Enhanced Streamflow Estimation. Water Resources Research, 61(7), e2025WR040268. https://doi.org/10.1029/2025WR040268
   6. Vijaykumar Bejagam, Ashutosh Sharma (2025) Increasing Cumulative Impacts of Droughts Under Climate Change Does Not Alter the Ecosystem Resilience in India, Earth's Future, 13(6), e2024EF005888. https://doi.org/10.1029/2024EF005888
   7. Pooja Patle, Ashutosh Sharma (2025). A novel coupled hydrological model-water accounting framework for quantification of water resources and agricultural production. Journal of Hydrology, 133676. https://doi.org/10.1016/j.jhydrol.2025.133676
   8. Nikunj K. Mangukiya^#, Kanneganti Bhargav Kumar, Pankaj Dey, Shailza Sharma, Vijaykumar Bejagam^#, Pradeep P. Mujumdar and Ashutosh Sharma* (2025). CAMELS-IND: Hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India. Earth System Science Data, 17(2), 461–491. https://doi.org/10.5194/essd-17-461-2025
   9. Nikunj K. Mangukiya^#, Ashutosh Sharma* (2025) Deep learning‐based approach for enhancing streamflow prediction in watersheds with aggregated and intermittent observations, Water Resources Research, 61, e2024WR037331. https://doi.org/10.1029/2024WR037331
   10. Prakhar Sharma^#, Swathi S Prashanth^#, Ashutosh Sharma* and Sumit Sen (2024) Spatial heterogeneity of ecosystem services and their valuation across Himalayas: A systematic literature review and meta-analysis. Environmental Research Letters, 20, 013002. https://doi.org/10.1088/1748-9326/ad9abc 
   11. Farhad Bahmanpouri, Anshul Yadav, Christian Massar, Domenico De Santis, Ashutosh Sharma, Ankit Agarwal, Sumit Sen, Luigi Fraccarollo, Tommaso Moramarco, Silvia Barbetta (2024) Application of the Entropy Model to Estimate Flow Discharge and Bed Load Transport with Limited Field Measurements, Water, 16(24), 3684.  https://doi.org/10.3390/w16243684
   12. Akriti Singh^#, Vijaykumar Bejagam^#, Ashutosh Sharma* (2024). Investigating the role of groundwater in Ecosystem Water Use Efficiency in India considering irrigation, climate and land use. Groundwater for Sustainable Development, 27, 101363. https://doi.org/10.1016/j.gsd.2024.101363
   13. Nikunj K. Mangukiya^#, Shashwat Kushwaha^#, Ashutosh Sharma* (2024). A novel multi-model ensemble framework for fluvial flood inundation mapping. Environmental Modelling & Software, 180, 106163. https://doi.org/10.1016/j.envsoft.2024.106163
   14. Batalini de Macedo, M., Mangukiya^#, N. K., Fava, M. C., Sharma, A., Fray da Silva, R., Agarwal, A., Razzolini, M. T., Mendiondo, E. M., Goel, N. K., & Kurian, M. (2024). Performance analysis of physically-based (HEC-RAS, CADDIES) and AI-based (LSTM) flood models for two case studies. Proceedings of IAHS, 386, 41–46.
   15. Vijaykumar Bejagam^#, Ashutosh Sharma*, Xiaohua Wei (2024) “Projected decline in the strengths of vegetation carbon sequestration under climate change in India”, Science of the Total Environment, 916, 170166. https://doi.org/10.1016/j.scitotenv.2024.170166
   16. Nikunj K. Mangukiya^# and Ashutosh Sharma* (2024) “Alternate Pathway for Regional Flood Frequency Analysis in Data-sparse Region”, Journal of Hydrology, 629, 130635. https://doi.org/10.1016/j.jhydrol.2024.130635
   17. Ankit Agarwal, Archana Sarkar, Ashish Pandey, Arun Kumar, and Ashutosh Sharma (2023) "Editorial of “Water security for sustainable development”." Water Security, 20, 100157. https://doi.org/10.1016/j.wasec.2023.100157
   18. Yanan Chen, Xuguang Tang, Li Yao, Yan Zhao, Guo Li, Chaoyang Wu, Yanlian Zhou, Ashutosh Sharma (2023) “Management practices regulate the response of canopy and ecosystem water use efficiency in cropland ecosystems”. Field Crops Research, 304, 109166. https://doi.org/10.1016/j.fcr.2023.109166
   19. Nikunj K. Mangukiya^#, Abhishek Kumar^#, and Ashutosh Sharma* (2023) “Machine Learning-based Regional Flood Frequency Analysis of Indian Watersheds”, CLEAN - Soil, Air, Water, Wiley.  https://doi.org/10.1002/clen.202300120
   20. Pooja Patle^#, Ashutosh Sharma* (2023) “Evaluation of Water Resources in a Complex River Basin using Water Accounting Plus (WA+): A case study of Mahi River Basin in India”, ASCE Journal of Water Resources Planning and Management, 149 (12). https://doi.org/10.1061/JWRMD5.WRENG-6125. 
   21. Nikunj K. Mangukiya^#, Ashutosh Sharma*, Chaopeng Shen (2023) “How to enhance hydrological predictions in hydrologically distinct watersheds of the Indian subcontinent?”, Hydrological Processes, 37(7), e14936. https://doi.org/10.1002/hyp.14936
   22. Joel Z. Harms, Julien J. Malard, Jan F. Adamowski, Ashutosh Sharma, and Albert Nkwasa (2023) “Dynamically Coupling System Dynamics and SWAT+ Models using Tinamït: Applications of Modular Tools for Coupled Human-Water Systems Models”, Hydrology and Earth System Sciences, 27(8), 1683–1693. https://doi.org/10.5194/hess-27-1683-2023.
   23. Vijaykumar Bejagam^#, Akriti Singh^#, Ashutosh Sharma* (2023) “Spatiotemporal variability and controlling factors of ecosystem water use efficiency in India” Theoretical and Applied Climatology, 152, 816-824. DOI: https://doi.org/10.1007/s00704-023-04418-z.
   24. Gilbert Hinge, Jay Piplodiya^#, Ashutosh Sharma, Mohamed A. Hamouda*, Mohamed M. Mohamed (2022) “Evaluation of Hybrid Wavelet Models for Regional Drought Forecasting”, Remote Sensing, 2022, 14(24), 6381; https://doi.org/10.3390/rs14246381.  
   25. Vijaykumar Bejagam^#, Ashutosh Sharma* (2022) “Remote sensing-based multi-scale characterization of ecohydrological indicators (EHIs) in India”, Ecological Engineering, 187, 106841.  https://doi.org/10.1016/j.ecoleng.2022.106841.
   26. Gilbert Hinge, Biswadeep Bharali, Anupal Baruah, Ashutosh Sharma* (2022) “Integrated groundwater quality analysis using Water Quality Index, GIS and multivariate technique: a case study of Guwahati City”. Environmental Earth Sciences, 81, 412 (2022). https://doi.org/10.1007/s12665-022-10544-0.
   27. Vijaykumar Bejagam^#, Ashutosh Sharma* (2022) “Impact of climatic changes and anthropogenic activities on ecosystem net primary productivity in India during 2001–2019”, Ecological Informatics, 70, 101732. https://doi.org/10.1016/j.ecoinf.2022.101732.  
   28. Ashutosh Sharma*, Anupal Baruah, Nikunj Mangukiya^#, Gilbert Hinge, and Biswadeep Bharali (2022) “Evaluation of Gangetic dolphin habitat suitability under hydroclimatic changes using a coupled hydrological-hydrodynamic approach”. Ecological Informatics, 69, 101639. https://doi.org/10.1016/j.ecoinf.2022.101639.
   29. Nikunj K. Mangukiya^# and Ashutosh Sharma* (2022) “Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework”. Natural Hazards, 113, 1285-1304.  https://doi.org/10.1016/j.ecoinf.2022.101639.  
   30. Saket Dubey, Ashutosh Sharma, Venkatesh Kishor Panchariya, Manish Kumar Goyal, Rao Y. Surampalli, Tian C. Zhang (2021). “Regional sustainable development of renewable natural resources using Net Primary Productivity on a global scale” Ecological Indicators, 127, 107768. https://doi.org/10.1016/j.ecoinf.2022.101639.
   31. Kai Ma, Dapeng Feng, Kathryn Lawson, Wen-Ping Tsai, Chuan Liang, Xiaorong Huang, Ashutosh Sharma, Chaopeng Shen (2021). “Transferring Hydrologic Data Across Continents–Leveraging Data‐Rich Regions to Improve Hydrologic Prediction in Data‐Sparse Regions”. Water Resources Research, 57(5), e2020WR028600. https://doi.org/10.1029/2020WR028600. [Top Cited Article 2021-2022]
   32. Judy P. Che-Castaldo, Rémi Cousin, …, Ashutosh Sharma, Chaopeng Shen, …, David S. Matteson (2021). “Critical Risk Indicators (CRIs) for the electric power grid: A survey and discussion of interconnected effects.” Environment Systems and Decisions, 41, 594–615. https://doi.org/10.1007/s10669-021-09822-2
   33. Ashutosh Sharma* and Manish Kumar Goyal (2020) “Assessment of Drought Trend and Variability in India using Wavelet Transform”, Hydrological Sciences Journal, 65(9), 1539-1554. https://doi.org/10.1080/02626667.2020.1754422
   34. Ashutosh Sharma* and Manish Kumar Goyal (2020) “Assessment of the Changes in Precipitation and Temperature in Teesta River Basin in Indian Himalayan Region under Climate Change”, Atmospheric Research, 231, 104670. https://doi.org/10.1016/j.atmosres.2019.104670
   35. Srinidhi Jha, Jew Das, Ashutosh Sharma, Budhaditya Hazra and Manish Kumar Goyal (2019) “Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India”, Global and Planetary Change, 176, 23-35. https://doi.org/10.1016/j.gloplacha.2019.01.014
   36. Manas Khan, Ashutosh Sharma and Manish Kumar Goyal (2019) “Assessment of future water provisioning and sediment load under climate and LULC change scenarios in a peninsular river basin, India”, Hydrological Sciences Journal, 64(4), 405-419. https://doi.org/10.1080/02626667.2019.1584401
   37. Ashutosh Sharma and Manish Kumar Goyal (2018) “District-level assessment of the ecohydrological resilience to hydroclimatic disturbances and its controlling factors in India”, Journal of Hydrology, 564, 1048–1057. https://doi.org/10.1016/j.jhydrol.2018.07.079
   38. Ashutosh Sharma and Manish Kumar Goyal (2018) “Assessment of ecosystem resilience to hydroclimatic disturbances in India”, Global Change Biology, 24(2), e432–e441. https://doi.org/10.1111/gcb.13874
   39. Jhilam Sinha, Ashutosh Sharma, Manas Khan, and Manish Kumar Goyal (2018) “Assessment of the impacts of climatic variability and anthropogenic stress on hydrologic resilience to warming shifts in Peninsular India”, Scientific Reports, 8(1), 1383. https://doi.org/10.1038/s41598-018-32091-0
   40. Manish Kumar Goyal, Venkatesh Panchariya, Ashutosh Sharma, and Vishal Singh (2018) “Comparative assessment of SWAT model performance in two distinct catchments under various DEM scenarios of varying resolution, sources and resampling methods”, Water Resources Management, 32(2), 805–825. https://doi.org/10.1007/s11269-017-1840-1
   41. Manish Kumar Goyal, Ashutosh Sharma, Konstantinos Katsifarakis (2017) “Prediction of flow rate of Karstic springs using Support Vector Machines”, Hydrological Sciences Journal, 62(13), 2175-2186. https://doi.org/10.1080/02626667.2017.1371847
   42. Vishal Singh, Ashutosh Sharma and Manish Kumar Goyal (2017) “Projection of hydro-climatological changes over eastern Himalayan catchment by the evaluation of RegCM4 RCM and CMIP5 GCM models”, Hydrology Research, 50(1), 117-137. https://doi.org/10.2166/nh.2017.193
   43. Ashutosh Sharma and Manish Kumar Goyal (2016) “A comparison of three soft computing techniques, Bayesian regression, support vector regression, and wavelet regression, for monthly rainfall forecast”, Journal of Intelligent Systems, 26(4), 641-655. https://doi.org/10.1515/jisys-2016-0065
   44. Manish Kumar Goyal and Ashutosh Sharma (2016) “A Fuzzy c-Means approach regionalization for analysis of meteorological drought homogeneous regions in Western India”, Natural Hazards, 84, 1831-1847. https://doi.org/10.1007/s11069-016-2520-9
   45. Ashutosh Sharma and Manish Kumar Goyal (2016) “Bayesian network for monthly rainfall forecast: a comparison of K2 and MCMC algorithm”, International Journal of Computers and Applications, 38(4), 199-206. https://doi.org/10.1080/1206212X.2016.1237131

Book Chapters

1. 1. Priyank J. Sharma and Ashutosh Sharma* (2023) “Spatio-temporal drought analysis”, Chapter 2 in Integrated Drought Management, Vol. 2, CRC Press. Edited by: Vijay P. Singh, Deepak Jhajharia, Rasoul Mirabbasi, Rohitashw Kumar. ISBN: 9781032231587. 
   2. Ashutosh Sharma*, Vijaykumar Bejagam and Manish K. Goyal (2022). “Hydro-Meteorological Extremes and Disasters” In: Hydro-Meteorological Extremes and Disasters, Springer. Edited by: Manish Kumar Goyal, Anil Kumar Gupta, Akhilesh Gupta
   3. Manish Kumar Goyal, Ashutosh Sharma, and Rao Y. Surampalli (2020) ”Remote Sensing and GIS Applications in Sustainability”, Chapter 28 in Sustainability: Fundamentals and Applications. Edited by : R. Y. Surampalli, T. C. Zhang, M. K. Goyal, S. K. Brar and R. D. Tyagi.
   4. Ashutosh Sharma, Manish Kumar Goyal and Deepak Jhajharia (2017) “Application of machine learning techniques in drought forecast”, Chapter 20 in Sustainable Holistic Water Resources Management in a Changing Climate, Pages 351-365, M/S Jain Brothers, New Delhi, Edited by: K. S. Raju and A. Vasan
   5. Manish Kumar Goyal and Ashutosh Sharma (2017) “Regionalization of drought prediction”, Chapter 15 in Handbook of Drought and Water Scarcity: Principles of Drought and Water Scarcity. Vol. 1, 253–278, Taylor and Francis, Edited by S. Eslamian and F. A. Eslamian.

1. 1. Sharma. A., and Mangukiya, N.K. (2024). “Enhancing Hydrological Predictions in Sparsely Sampled Watersheds using Deep Learning Alternatives.” AGU Annual  meeting 2024, 9-13 December 2024.
   2. Bejagam, V., Sharma, A., and Wei, X. (2024). “Assessing Net Primary Productivity (NPP) Responses to Droughts in India: Insights into Resistance, Recovery, and Resilience.” AGU Annual  meeting 2024, 9-13 December 2024.
   3. Patle, P., and Sharma, A. (2024).  “A coupled hydrological model-water accounting framework for water resources and agricultural production assessment in Tapi River basin.” AGU Annual  meeting 2024, 9-13 December 2024.
   4. Nagashree, G.E., and Sharma, A. (2024).  “Water Resource Analysis through Water-Energy-Food-Ecosystem Nexus Perspective: A case study of Mahi Basin, India.” AGU Annual  meeting 2024, , 9-13 December 2024.
   5. Sharma, P., Sharma, A and Sen, S. (2024).” Mapping the Spatial Heterogeneity of Ecosystem Services Across the Himalayan Region.” AGU Annual  meeting 2024.
   6. Bejagam, V., Sharma, A., and Massari, C. (2024). “Unraveling the impacts of meteorological drought on terrestrial ecosystems in the Mediterranean region.” AGU Annual  meeting 2024, 9-13 December 2024.
   7. Bejagam, V., Sharma, A., & Wei, X. (2024). Projected decline of CO2_22​ fertilization effects on vegetation carbon sequestration in India. EGU General Assembly 2024, Vienna, Austria, 14–19 April. https://doi.org/10.5194/egusphere-egu24-4893
   8. GE, N., & Sharma, A. (2024). Assessment of ecohydrological response of Himalayan forest ecosystems to forest fires. EGU General Assembly 2024, Vienna, Austria, 14–19 April. https://doi.org/10.5194/egusphere-egu24-1123
   9. Patle, P., & Sharma, A. (2024). Assessing water resource availability and utilization in the Mahi River Basin: A comprehensive analysis using Water Accounting Plus (WA+). EGU General Assembly 2024, Vienna, Austria, 14–19 April. https://doi.org/10.5194/egusphere-egu24-839
   10. Mangukiya, N. K., & Sharma, A. (2023). Machine Learning-based Flood Risk Mapping Framework for the Lower Narmada Basin in India. 13th International Conference of the International Society for the Integrated Disaster Risk Management (IDRiM 2023), IIT Roorkee, India, 28–30 September. Paper ID: IDRiM2023/ABSN/166
   11. Mangukiya, N. K., & Sharma, A. (2023). Hydrological Modeling in Data-Sparse Regions Using Long Short-Term Memory Network: A Case Study in India. 28th General Assembly of the International Union of Geodesy and Geophysics (IUGG 2023), Germany, 11–20 July. https://doi.org/10.57757/IUGG23-0081
   12. Bejagam, V., & Sharma, A. (2023). Characterization of ecohydrological indicators (EHIs) in India: A multi-scale perspective. EGU General Assembly 2023, Vienna, Austria, 23–28 April. https://doi.org/10.5194/egusphere-egu23-340
   13. Mangukiya, N. K., & Sharma, A. (2023). Evaluating Machine Learning Approach for Regional Flood Frequency Analysis in Data-sparse Regions. EGU General Assembly 2023, Vienna, Austria, 23–28 April. https://doi.org/10.5194/egusphere-egu23-1278
   14. Patle, P., Sharma, A., Singh, P. K., Ahmad, I., Matsuno, Y., Leh, M., & Ghosh, S. (2023). Assessment of Water Consumption Pattern & Agricultural Production using Water Accounting Plus (WA+) Framework: A case study of Mahi River basin. EGU General Assembly 2023, Vienna, Austria, 23–28 April. https://doi.org/10.5194/egusphere-egu23-2510
   15. Singh, A., Bejagam, V., & Sharma, A. (2023). Examining the role of groundwater in the spatio-temporal variation of Ecosystem Water Use Efficiency in India. EGU General Assembly 2023, Vienna, Austria, 23–28 April. https://doi.org/10.5194/egusphere-egu23-1618
   16. Sahoo, T., Bejagam, V., & Sharma, A. (2023). Assessment of compound extremes using statistical methods in India. EGU General Assembly 2023, Vienna, Austria, 23–28 April. https://doi.org/10.5194/egusphere-egu23-2305
   17. Bejagam, V., & Sharma, A. (2023). Characterization of ecohydrological indicators (EHIs) at multi-spatial scales in India. National conference on “Land-atmosphere interactions controlling weather & climate: Applications of numerical models and observations (LAI-2023)”, National Institute of Technology, Rourkela, 9–12 January.
   18. Singh, A., Bejagam, V., & Sharma, A. (2022). Role of groundwater in spatiotemporal variations of Water Use Efficiency in India. 9th International Ground Water Conference (IGWC) 2022, 2–4 November.
   19. Bejagam, V., & Sharma, A. (2022). Quantification of impacts of climate change and anthropogenic activities on ecosystem net primary productivity in India using residual trend (RESTREND) analysis. AsiaFlux 2022 Conference, 22–24 September.
   20. Sharma, A., Bejagam, V., & Singh, A. K. (2021). Streamflow prediction using Long Short-Term Memory (LSTM) model across 55 hydrologically-distinct watersheds in India. AGU Fall Meeting 2021, 13–17 December.
   21. Sharma, A., & Bejagam, V. (2021). Impact of climatic changes and anthropogenic activities on ecosystem’s net primary productivity in India during 2001–2019. Second International Conference on Natural Hazards and Risks in a Changing World 2021, 5–6 October.
   22. Vishwakarma, A., Bejagam, V., & Sharma, A. (2021). A review on the influence of droughts on Ecosystems and Ecosystem Services (ES). International Conference on Ecosystem Restoration for Resilience and Sustainability: Living with nature (2021), 5–7 June.
   23. Hinge, G., & Sharma, A. (2021). Comparison of wavelet and machine learning methods for regional drought prediction (No. EGU21-218). EGU General Assembly 2021, 19–30 April.
   24. Sharma, A., & Shen, C. (2020). Improving multi-month streamflow forecast in CONUS using Long-Short Term Memory (LSTM) networks. AGU Fall Meeting 2020, 1–17 December.
   25. Liu, J., Sharma, A., Tsai, W. P., Ma, K., Feng, D., Lawson, K., & Shen, C. (2020). Automated deep-learning-based soil moisture planning and forecast system for planning against natural disasters. AGU Fall Meeting 2020, 1–17 December.
   26. Sharma, A., Goyal, M. K., & Sarma, A. K. (2018). Comparative assessment of ecosystem resilience to droughts in two large scale river basins in India. AGU Fall Meeting 2018, Washington DC, 10–14 December.
   27. Sharma, A., Goyal, M. K., & Sarma, A. K. (2018). Remote sensing-based assessment of terrestrial ecosystem resilience to droughts in India. Midwest Big Data Hub Digital Agriculture All Hands Meeting, University of Nebraska-Lincoln, 21 September.
   28. Goyal, M. K., & Sharma, A. (2017). Wavelet transform based trend analysis for drought variability over 566 stations in India. 10th World Congress on Water Resources and Environment (Panta Rhei), European Water Resources Association (EWRA), Athens, Greece, 5–9 July.
   29. Sharma, A., Khan, M., & Goyal, M. K. (2017). Assessment of the impact of changes in climate and land use/land cover on ecosystem services of a river watershed in Peninsular India. Sixth International Conference on Environmental Management, Engineering, Planning & Economics (CEMEPE), Thessaloniki, Greece.
   30. Muñoz-Arriola, F., Sharma, A., Werner, K., Chacón, J.-C., Corzo, G., & Goyal, M.-K. (2017). Hydrocentric view of agro-ecosystem resiliency to extreme hydrometeorological and climate events in the High Plains, US. EGU General Assembly 2017 (EGU General Assembly Conference Abstracts, 19, 11865), Vienna, Austria, 23–28 April.
   31. Goyal, M. K., & Sharma, A. (2017). Assessment of the ecosystem resilience in an urbanized river basin in India. ASCE India Conference 2017 on Urbanization Challenges in Emerging Economies: Moving Towards Resilient Sustainable Cities and Infrastructure, 12–14 December.
   32. Sharma, A., & Goyal, M. K. (2016). Modelling rainfall prediction using Bayesian approach with interstation dependencies. 2016 Sixth IEEE International Conference on Communication Systems and Network Technologies (CSNT), Chandigarh, 5–7 May.
   33. Sharma, A., & Goyal, M. K. (2015). Bayesian network model for monthly rainfall forecast. 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), Kolkata, India, 20–22 November, 241–246. IEEE.

Web of Science ResearcherID: AAM-3049-2020

ResearchGate: Ashutosh Sharma

Google Scholar: Ashutosh Sharma

ORCID: 0000-0003-2613-2821

LinkedIn: Ashutosh Sharma

If you are looking for an M Tech or Ph.D. position in my research area, please email your CV to ashutosh.sharma@hy.iitr.ac.in