Post-Doctoral Research Fellow, Indian Institute of Technology Roorkee, Uttarakhand, India India
Dr. Divya Sardana is a Post-Doctoral Research Fellow at IIT Roorkee with expertise in mathematical modeling and climate science, especially in climate variability, Arctic sea ice dynamics, and sea surface height projections. With a Ph.D. from NIT Delhi, her academic journey is marked by prestigious fellowships and impactful publications in high-impact SCI journals. Her work emphasizes teleconnections, wave energy, and extreme weather analysis, making significant contributions to climate modeling using CMIP6 datasets. She has presented her findings at international conferences, including EGU and AGU, and is actively collaborating with global research institutes such as PIK, Germany. Her interdisciplinary research and teaching experiences highlight her commitment to climate impact studies and mathematical climatology.
Profile
Scopus
Orcid
Scholar
🎓 Education
Ph.D. in Mathematics from NIT Delhi (2019–2023) with a 10.0 CGPA, focused on CMIP6 model evaluation for sea surface height and climate variability. M.Sc. in Mathematics from Sri Venkateswara College, University of Delhi (2016–2018) with 67.7%. B.Sc. (Hons.) in Mathematics from Gargi College, University of Delhi (2013–2016) with 89.7%, laying the foundation of her analytical expertise. Completed 12th from Lord Jesus Public School, Gurugram with 90.5%, specializing in PCM with Biology and English. Her strong academic record showcases her consistent excellence and dedication to mathematical applications in environmental sciences.
💼 Experience
Currently serving as a Post-Doctoral Research Fellow at IIT Roorkee (Apr 2024–present), Dr. Sardana previously worked as a Research Associate at IIT Roorkee (Jan–Mar 2024). She was an Assistant Professor at K.R. Mangalam University (Jul–Dec 2023), where she taught mathematics to undergraduate and postgraduate students. Her foundational research experience stems from her role as Doctoral Researcher and Teaching Assistant at NIT Delhi (Aug 2019–Jun 2023), engaging in teaching and advanced climate modeling. Her career path reflects a seamless blend of academic rigor, pedagogical engagement, and research leadership.
🏆 Awards and Honors
Awarded the SSHN 2025 fellowship for a research visit to France, and ANRF international travel grant for EGU 2025, Vienna. Received a grant under the CO-PREPARE project for research at PIK Potsdam, Germany (Nov–Dec 2024). Secured AIR 463 in GATE-MATHEMATICS (2019), AIR 53 in UGC-NET-JRF (2019), and AIR 46 in UGC-NET (2018), demonstrating academic excellence. These honors highlight her global engagement and outstanding merit in national-level competitive exams, marking her as a rising climate researcher with international collaborations.
🔬 Research Focus
Her research revolves around the statistical analysis of climate parameters like sea level, wave height, precipitation, temperature, and extreme weather events. She studies teleconnections (e.g., Arctic-ISMR link), Arctic sea ice melt, and monsoon dynamics using CMIP6 models. Her analytical approaches include Regression Analysis, Composite Analysis, and Extreme Value Theory for predicting and evaluating climate variability. Her studies aid in understanding future climate scenarios, especially under varying emission trajectories. She’s also actively involved in research dissemination through journals like Climate Dynamics, Ocean Engineering, and IJOC.
Conclusion
Dr. Divya Sardana exemplifies the qualities of a highly promising and dedicated woman researcher. Her deep commitment to climate research, excellent publication record, strong academic background, and growing international presence make her a highly deserving candidate for the Women Researcher Award. With her continued focus and strategic enhancement of research leadership and interdisciplinary collaboration, she is poised to make enduring contributions to climate science and inspire future generations of women in STEM.
Publication
Title: CMIP6 model evaluation for mean and extreme precipitation over India
Year: 2024
Authors: P Kushwaha, VK Pandey, P Kumar, D Sardana
Citations: 14
Title: Influence of climate variability on wind‐sea and swell wave height extreme over the Indo‐Pacific Ocean
Year: 2022
Authors: P Kumar, D Sardana, S Kaur, R PG, Rajni, E Weller
Citations: 14
Title: Seasonal extreme rainfall variability over India and its association with surface air temperature
Year: 2022
Authors: D Sardana, P Kumar, E Weller, Rajni
Citations: 13
Title: Regional sea level changes in the Indian shelf sea and its association with SST anomalies
Year: 2021
Authors: P Kumar, D Sardana
Citations: 11
Title: The projected changes in extreme wave height indices over the Indian Ocean using COWCLIP2.0 datasets
Year: 2023
Authors: D Sardana, P Kumar, PK Bhaskaran, TMB Nair
Citations: 8
Title: Influence of climate variability on sea level rise and its teleconnection with sea surface temperature anomalies over the Indo‐Pacific Ocean
Year: 2022
Authors: P Kumar, D Sardana, E Weller, PK Bhaskaran
Citations: 6
Title: Influence of climate variability modes over wind-sea and swell generated wave energy
Year: 2024
Authors: D Sardana, P Kumar
Citations: 5
Title: CMIP6 model evaluation for sea surface height responses to ENSO
Year: 2024
Authors: D Sardana, P Kumar, Rajni
Citations: 4
Title: Extreme wave height response to climate modes and its association with tropical cyclones over the Indo-Pacific Ocean
Year: 2024
Authors: P Kumar, A Yadav, D Sardana, R Prasad
Citations: 3
Title: Projection of mean and extreme precipitation and air temperature over India: a CMIP6 analysis
Year: 2024
Authors: P Kushwaha, VK Pandey, P Kumar, D Sardana, A Yadav
Citations: 2
Title: CMIP6 Model Evaluation for Wind Speed Responses to IOD during Monsoon Season over the Indian Ocean
Year: 2024
Authors: R Prasad, P Kumar, A Yadav, A Singh, D Sardana, Y Hisaki
Citations: 2
Title: Evaluation and Projection of Arctic sea ice concentration under various emission scenarios using CMIP6 models
Year: 2025
Authors: D Sardana, S Kulkarni, A Agarwal
Title: Compounding Heatwaves and Extreme Precipitation in India Using Event Coincidence Analysis between 1951-2020
Year: 2024
Authors: S Saha, A Manoj J, D Sardana, A Agarwal
Title: Investigating CMIP6 Models for Arctic Sea Ice Dynamics and Predictive Links with Monsoon Precipitation
Year: Not available
Authors: D Sardana, A Agarwal