• "Wind turbine wake interactions with surface roughness heterogeneities: Large Eddy Simulation and analytical modelling studies", DST-SERB, 2020-2022, Dr. Niranjan S. Ghaisas.


• "Petascale simulations of large wind farms sited on complex heterogeneous terrain", DST-National Supercomputing Mission, 2021-2023, Dr. Niranjan S. Ghaisas and Dr. Harish N. Dixit.


• Robust wind energy conversion system – when deep learning meets sustainable energy utilization, DST - National Supercomputing Mission, 2021 - 2023, Prof. Kishalay Mitra (PI) & Prof. Soumya Jana (co-PI)


• Wind farm layout optimization under uncertainty using wind speed forecasting through probabilistic models and comparison with machine learning algorithms - SPARC, MoE & UKIERI, UK - 2019 - 2021, collaboration with University of Exeter, UK (Prof. Richard Everson & Prof. Jonathan Fieldsend), Prof. Kishalay Mitra (PI) & Prof. Raja Banerjee (co-PI).


• Cool Infrastructures: Life with Heat in the Off-Grid City, funded by the Economic and Social Research Council, UK. This is a collaborative project with Dr. Jamie Cross, University of Edinburgh. [Dr. Aalok Khandekar, IIT Hyderabad]


• Assessment of the Actual and Potential Contributions of Smart City Projects to Climate Resilience in Selected Asia-Pacific Cities, funded by Asia Pacific Network (APN) for Global Research Change (2019-2020). This is a collaborative project with Ayyoob Sharifi et al, Hiroshima University, Japan. [Dr. Aalok Khandekar, IIT Hyderabad]


• Pathways in Air Pollution Governance in Indian Cities: From Education to Science to Governance, funded by Azim Premji Foundation, India (2016-2019). This is a collaborative project with Kim Fortun, University of California, Irvine, USA. [Dr. Aalok Khandekar, IIT Hyderabad]


• Understanding space-time variability of climate extremes for societal resiliency in Indonesia and India, funded by Asia-Pacific Network (APN) for Global Change Research (2019 -2020). This is a collaborative project with Dr. Mas Yanto, Jenderal Soedirman University,Purwokerto, Indonesia, and Prof. Balaji Rajagopalan, University of Colorado at Boulder, USA. [Dr. Satish Regonda, IITH].


• Smart Cities Development for Emerging Countries by Multimodal Transport System Based on Sensing, Network and Big Data Analysis of Regional Transportation, funded by the Japan Science and Technology Agency (JST) and the Japan International Cooperation Agency (JICA), (01 April 2017 to 31 March 2022), This is a collaborative project [Dr. Digivijay S Pawar, IITH]


• Development of a Chemical Kinetic Mechanism for Lemon Peel Oil, a potential aviation biofuel, SERB (2019-2022), Dr. Sayak Banerjee.


• Development, modelling and demonstration of an Optimized 2-stage biomass-to-hydrogen gasification system, DST (2022-2025), Dr. Sayak Banerjee.


• Reimagining the Good City from Ennore Creek, Chennai - British Academy, University of Westminster as primary institute, Dr. Asif Qureshi


• Co-Investigator, ‘Odisha Migration Study’, funded by IRRI, (2022-2023), Dr. Hari Priya


• Robust Wind Energy Conversion System – When Deep Learning Meets Sustainable Energy Utilization; Department of Science Technology, Government of India - National Supercomputing Mission, Dr. Kishalay Mitra


• Anomalous Moisture Transport for Hydrological Extremes in a Changing Climate (AMOTHEC) , DST-FCT (Indo-Portugal Bilateral Scheme), (2022-2025), Dr. Maheswaran R


• Understanding the impact of climate change on groundwater resources for Ganga River Basin using Physics based models and AI/ML models, DST - IC IMPACTs (Indo Canada Bilateral Scheme) (2023-25), Dr. Maheswaran R
• BrahmaSATARK: A real-time impact-based 2D flood forecasting system for the Brahmaputra River basin using hydrologic-hydrodynamic and statistical-dynamical approaches,Collaboration of IIT Delhi, IIT Gandhinagar, IIT Guwahati, University of Colorado, Boulder, Dr. Satish Regonda

* The format as follows, Title, funding agency, year of award/duration of project, names of the collaborators, name of IITH faculty

• Prabhakaran, D., Banerjee, S., "Development of a Reduced Combustion Kinetic Mechanism for Lemon Peel Waste Oil as a Jet-fuel", 48th FMFP Conference, BITS Pilani, India (2021).


• Ambika S, Jagratti, Shikar, Gaurav, Sustainability Assessment of Crops in India, Current Research in Environmental Sustainability (2021).


• Chandrashekar C., Chatterjee, P., Pawar D.S., “Estimation of CO2 and CO emissions from auto-rickshaws in Indian heterogeneous traffic”, Transportation Research Part D: Transport and Environment 104,103202 (2022).


• Eregowda, T., Chatterjee, P., Pawar, D.S., “Impact of lockdown associated with COVID19 on air quality and emissions from transportation sector: case study in selected Indian metropolitan cities” Environment Systems and Decisions 41(3), pp. 401-412 (2021).


• Mohammed, A., S. K. Regonda and N.R. Kopparthi, Climatological features of high temporal resolution rainfall over the Hyderabad city, India, Urban Climate, 42 (2022).


• Parmar, J., Qureshi, A. (2023) Accounting of the use and emissions of polychlorinated biphenyl compounds (PCBs) in India, 1951-2100. Environmental Science & Technology, doi: 10.1021/acs.est.2c09438.


• Vudamala, K., Chakraborty, P., Chatragadda, R., Tiwari, A.K., Qureshi, A. (2023) Distribution of organochlorine pesticides in surface and deep waters of the Southern Indian Ocean and coastal Antarctic waters. Environmental Pollution, https://doi.org/10.1016/j.envpol.2023.121206.


• Joy, A., Qureshi, A. (2023) Reducing mercury emissions from coal-fired power plants in India: possibilities and challenges. Ambio, doi: 0.1007/s13280-022-01773-5.37.


• Ray, T., Malasiya, D. Verma, A., Purswani, E., Qureshi, A., Khan, M.L., Verma, S. (2023) Characterization of Spatial–Temporal Distribution of Forest Fire in Chhattisgarh, India, Using MODIS-Based Active Fire Data, Sustainability, 15(9), 7046; https://doi.org/10.3390/su15097046.


• Kapoor, T.S., Navinya, C., Gupta, A., Lokhande, P., Rathi, S., Goel, A., Sharma, R., Arya, R., Mandal, T.K., Jithin, K.P., Shiva Nagendra, S.M., Imran, M., Kumari, J., Muthalagu, A., Qureshi, A., Najar, T.A., Jehangir, A., Haswani. D., Raman, R.S., Rabha, S., Saikia, B.K., Lian, Y., Pandithurai, G., Chaudhary, P., Sinha, B., Dhandapani, A., Iqbal, J., Mukherjee, S., Chatterjee, A., Venkataraman, C., Phuleria, H. (2023) Reassessing the availability of crop residue as a bioenergy resource in India: A field-survey based study. Journal of Environmental Management, https://doi.org/10.1016/j.jenvman.2023.118055.


• Navinya, C, Kapoor, T.S., Gupta, A., Lokhande, P., Sharma, R., Prasad, L., Shiva Nagendra, S.M., Kumari, J., Habib, G., Arya, R., Mandal, T.K., Muthalagu, A., Qureshi, A., Najar, T.A., Jehangir, A., Jain. S., Goel, A., Rabha, S., Saikia, B.K., Chaudhary, P., Sinha, B., Haswani. D., Raman, R.S., Dhandapani, A., Iqbal, J., Mukherjee, S., Chatterjee, A., Lian, Y., Pandithurai, G., Venkataraman, C., Phuleria, H. (2023) Heating and lighting: Understanding overlooked energy-consumption activities in the Indian residential sector. Environmental Research Communications, doi: 10.1088/2515-7620/acca6f.


• Nath, S., Qureshi, A., & Das, S. (2023). Role of bulking agents, process optimization, and different earthworm species in the vermiremediation process of industrial wastes: A review. Notulae Scientia Biologicae, 15(2), 11490. https://doi.org/10.55779/nsb15211490.


• Ray, T., Khan, M.L, Qureshi, A., Verma, S. (2022). MODIS-derived Fire Characteristic and Greenhouse Gases Emission from Cropland Residue Burning in Central India. Sustainability. 14(24), 16612; https://doi.org/10.3390/su142416612.


• Qureshi, A. (2022) Mercury in the environment around industrially impacted Locations in India: a mini-review. Bulletin of Environmental Contamination & Toxicology, doi: 10.1007/s00128-022- 03548-w.


• Maheshwarkar, P., Ralhan, A., Raman, R.S., Tibrewal, K., Venkataraman, C., Dhandapani, A., Kumar, R.N., Mukherjee, S., Chatterje, A., Rabha, S., Saikia, B.K., Bhardwaj, A., Chaudhary, P., Sinha, B., Lokhande, P., Phuleria, H.C, Roy, S., Imran, M., Habib, G., Hashmi, M.A., Qureshi, A., Qadri, A.M., Gupta, T., Lian, Y., Pandithurai, G., Prasad, L., Murthy, S., Deswal, M., Laura, J.S., Chhangani, A.K., Najar, T.A., Jehangir, A. (2022) Understanding the influence of meteorology and emission sources on PM2.5 mass concentrations across India: first results from the COALESCE network. Journal of Geophysical Research: Atmospheres, doi: 10.1029/2021JD035663.


• Majumdar, A. Qureshi, A. (2022) Thinking about infertility from a mixed methods perspective: the need to look at toxicity in rural India. Sexual and Reproductive Health Matters, doi: 10.1080/26410397.2021.1999565.


• Shende, P., Qureshi, A. (2022) Burden of diseases in fifty-three urban agglomerations of India due to particulate matter (PM2.5) exposure. Environmental Engineering Research, 22(3), 210042, doi: 10.4491/eer.2021.042.


• 2023 (with Kanaka Himabindu Pottumuthu) ‘Smart City Stories: Case study of a city in South India’ in Madhulika Sahoo et al (ed) Ethnographic Research in Social Sciences, Routledge UK


• 2022 (with Nimmi Rangaswamy) ‘The power of data science ontogeny: Thick data studies on the Indian IT skill tutoring microcosm’ in Andreas Hepp, Juliane Jarke and Leif Kramp (eds) New Perspectives in Critical Data Studies: The ambivalences of data power. Palgrave Macmillan


• 2023 (forthcoming, with Venkatesh Boddu) ‘Placating Kin: Rituals and Infertility’, The Oriental Anthropologist


• Lakshmi S. C., Miriyala, S. S., Mitra, K., C., Statistical Inference and Analysis for Efficient Modeling of Environmental Pollution using Deep Neural Networks, 2022 Eighth Indian Control Conference (ICC), Chennai, India, 2022, pp. 385-390, doi: 10.1109/ICC56513.2022.10093411., Eighth IEEE Indian Control Conference, IIT Madras, December 2022.


• Yeditha, P. K., Ganapathiraju, A., Nandikanti, S. S. S., & Rathinasamy, M. (2023). Development of Monthly Scale Precipitation Forecasting Model for Indian Subcontinent Using Wavelet Based Deep Learning Approach.


• Jarajapu, D. C., Rathinasamy, M., Agarwal, A., & Bronstert, A. (2022). Design flood estimation using extreme Gradient Boosting-based on Bayesian optimization. Journal of Hydrology, 613, 128341.


• Yaswanth, K., Kona, M., Andra, S. K., & Rathinasamy, M. (2022). Understanding the impact of changes in land-use land-cover and rainfall patterns on soil erosion rates using the RUSLE model and GIS techniques: A study on the Nagavali River basin. Journal of Water and Climate Change, 13(7), 2648-2670.


• Setti, S., Yumnam, K., Rathinasamy, M., & Agarwal, A. (2022). Assessment of satellite precipitation products at different time scales over a cyclone prone coastal river basin in India. Journal of Water and Climate Change.


• Yeditha, P. K., Pant, T., Rathinasamy, M., & Agarwal, A. (2022). Multi-scale investigation on streamflow temporal variability and its connection to global climate indices for unregulated rivers in India. Journal of Water and Climate Change, 13(2), 735-757.


• Fathima, J., & Chatterjee, P. (2022). A techno-economic assessment of nutrient recovery from wastewater using microalgae: scenario in India collected from published literature. Water Science and Technology, 86(6), 1325 – 1341. https://doi.org/10.2166/wst.2022.260


• Hämäläinen, A., Kokko, M., Chatterjee, P., Kinnunen, V., & Rintala, J. (2022). The effects of digestate pyrolysis liquid on the thermophilic anaerobic digestion of sewage sludge — Perspective for a centralized biogas plant using thermal hydrolysis pretreatment. Waste Management, 147, 73–82. https://doi.org/https://doi.org/10.1016/j.wasman.2022.05.013


• Ponukumati, P., Mohammed, A., & Regonda, S. (2023). Insights on Satellite-Based IMERG Precipitation Estimates at Multiple Space and Time Scales for a Developing Urban Region in India. Journal of Hydrometeorology, 24(6), 977-996.


• Gedam, S., Pallam, H., Kambhammettu, B. V. N. P., Anupoju, V., & Regonda, S. K. (2023). Investigating the Accuracies in Short-Term Weather Forecasts and Its Impact on Irrigation Practices. Journal of Water Resources Planning and Management, 149(2), 04022079.


• Chakraborty, S., Ji, Shiva. (2022). A Sustainable Approach for the Urban Sprawl of Kolkata (Circa 1690–2020). In: Chakrabarti, D., Karmakar, S., Salve, U.R. (eds) Ergonomics for Design and Innovation. HWWE 2017. Lecture Notes in Networks and Systems, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-030-94277-9_100.


• Upadhyaya, S., Kirstetter, P. E., Kuligowski, R. J. & Searls, M. (2022). Towards Improved Precipitation Estimation with the GOES-16 Advanced Baseline Imager: Algorithm and Evaluation. Quarterly Journal of the Royal Meteorological Society.https://doi.org/10.1002/qj.4368.


• Upadhyaya, S. A., Kirstetter, P. E., Kuligowski, R. J., & Searls, M. (2022). Exploring the Temporal Information from GEO Satellites for Estimating Precipitation with Convolutional Neural Networks. IEEE Geoscience and Remote Sensing Letters.https://ieeexplore.ieee.org/document/9819929.


• Lemma, E., Upadhyaya, S., & Ramsankaran, R. (2022). Meteorological drought monitoring across the main river basins of Ethiopia using satellite rainfall product. Environmental Systems Research, 11(1), 1-15. https://doi.org/10.1186/s40068-022-00251-x.