Dr. Sangeetha Sugumar

Profile

Dr. Sangeetha S is a Senior Scientist at CSIR-4PI and Assistant Professor at the Academy of Scientific and Innovative Research (AcSIR). She currently leads earthquake broadband and strong motion studies at the department of Interdisciplinary Data Research Division at CSIR‑4PI. Her research field of interest includes: processing and analyzing of strong motion data records, definition of seismic design parameters, structural health monitoring based on the recorded acceleration data, earthquake resistant design of structures, machine‑learning applications to earthquake and multi‑hazard problems.

Currently, she is focused on developing earthquake models for the Himalayas and beyond, leveraging CSIR‑4PI’s supercomputing resources to build physics‑informed, data‑driven views‑of‑risk. Her doctoral studies was focused on developing stochastic and engineering models for simulating earthquakes and their ground motions and has contributed to the development of earthquake view‑of‑risk for several countries.

Earned Degrees

B.Tech (Civil Engineering), 2010
Pondicherry Engineering College, Puducherry

M.S. (Structural Engineering), 2012
Indian Institute of Technology Madras, Chennai

Ph.D. (Structural Engineering), 2022
Indian Institute of Technology Madras, Chennai

Awards & Honours

• Platinum Award – Aon Stars for Excellence (Dec 2023)
• Gold Team Award – Aon Stars for Collaborative Excellence (Nov 2023)
• Gold Award – Aon Stars for Individual Excellence (Nov 2023)
• Silver Award – Aon Stars for Outstanding Contribution (Nov 2022)
• Silver Medal – Best M.S. Thesis in Structural Engineering, IIT MADRAS (2012)
• Sri K. Sreeharsha Memorial Prize for Best M.S. Thesis in Structural Engineering, IIT MADRAS (2012)

Research Areas

• Earthquake Engineering
• Structural Dynamics
• Engineering Seismology
• Probability and Stochastic Processes
• Big Data and Machine learning

Professional Experiences

🕘 July 2024 – Present : Senior Scientist, CSIR‑Fourth Paradigm Institute, Bengaluru

🕘 May 2021 – Jun 2024 : Earthquake Research Lead – Catastrophe Modelling, Aon, Bengaluru

🕘 Jun 2012 – Jan 2015 : Senior Research Fellow, Indian Institute of Technology Madras, Chennai

Teaching

• Post Graduate courses
• PhD Courses
  • Introduction to Stochastic Processes

People

Internship

• Raswant Krishna NIT-Trichy
• Ahkilesh B NIT-Trichy

Opportunities

Are you passionate about cutting-edge research in earthquake engineering, engineering seismology, applied geophysics, structural engineering, or computational sciences? I am seeking highly motivated research scholars who are interested in working on Ground Motion Characterization through Machine Learning and Physics-Based Methods, seismic hazard, Vulnerability And Risk Assessment, Earthquake Risk and Engineering towards Seismic Safety of Building Stock.

Preferred Backgrounds:

• Earthquake Engineering
• Engineering Seismology
• Applied Geophysics
• Structural Engineering
• Computer Science
• Computational Mathematics
• Machine Learning / Artificial Intelligence

Broad Research Areas:

• Ground Motions Modeling and Hazard Assessment
• High-Performance Computing Applications (Work with India’s fastest supercomputer, CHAMP) in Earthquake Science
• Multi-Hazard (Earthquake, Tsunami, Landslide, Climate change, Flood, etc.)
• ML/AI Applications in Earthquake Studies
• Challenging, Unsolved Problems in Earthquake Science

Ideal Candidates:

• Passion for Research and problem-solving in complex, real-world scenarios
• Persistence and Adaptability in overcoming research challenges

Funding Options:

• Self-Sponsored
• Industry-Sponsored
• UGC-CSIR-NET Qualified (Note: GATE qualification is not accepted for funding)
• External Fellowships (If you have a fellowship, please highlight it in your application)

To Apply:

Email your CV and a brief statement of research interests. If you have a challenging, unsolved problem in mind, mention it!

Postdoctoral Opportunities: NPDF

Join us to push the frontiers of earthquake science and computational engineering!

Projects

ONGOING PROJECTS

• OLP 005 - GNSS AND Broadband studies in NW Himalayas.

Upcoming Projects

• RDSF Computational 3D Velocity model for Himalayas

Consultancy

• Structural Stability assessment of Hanger building at Dibrugarh Airport, Assam.

Publications

Conference Papers

• S. Sangeetha, S.T.G. Raghukanth, Broadband ground motion simulations for Northeast India, Soil Dynamics and Earthquake Engineering, Volume 154, 2022, 107120, ISSN 0267-7261, DOI .
• Sangeetha, S., Dhanya, J., and Raghukanth, S.T.G. 3D Crustal Velocity Model for Ground Motion Simulations in North-East India. Journal of Earthquake Engineering, 1-37 (2018).
• Sangeetha, S. and Raghukanth, S.T.G. Stochastic Source Model for Strong Motion Prediction. International Journal of Geotechnical Earthquake Engineering, 9 (2), 1-22 (2018).
• Dhabu, A.C., Sangeetha, S. and Raghukanth, S.T.G. Characterization of Strong Motion Generation Regions of Earthquake Slip Using Extreme Value Theory Pure and Applied Geophysics DOI (2019).
• Raghukanth, S. T. G. and S. Sangeetha (2014). A stochastic model for earthquake slip distribution of large events. Geomatics, Natural Hazards and Risk, 7(2), 493–521. DOI .
• Raghukanth, S. T. G. and S. Sangeetha (2012). Empirical mode decomposition of earthquake accelerograms. Advances in Adaptive Data Analysis, 4(4), 1250022. DOI .
• Sangeetha, S. and Raghukanth, S.T.G. A Nonstationary model for earthquake slips using Multi-Dimensional Ensemble Empirical Mode Decomposition technique. (Under Review in Journal of Seismology) (2022).

Conference Papers

• Sangeetha, S. and Raghukanth, S. T .G. (2017). A Stochastic source model for the 2015 Mw 7.9 Gorkha, Nepal, Earthquake using Multi-Dimensional Ensemble Empirical Mode Decomposition technique. International Conference on Engineering Vibration (ICoEV 2017), Sofia- Bulgaria, 4-7 September 2017.
• Sangeetha, S. and Raghukanth, S. T .G. (2015). Modeling of Indian strong motion data using Empirical Mode Decomposition technique. The Sixth Jordanian International Civil Engineering Conference (JICEC06), Amman-Jordan, 10-12 March, 2015.
• Sangeetha, S. and Raghukanth, S. T .G. (2015). Stochastic Modeling of Earthquake Slip Spatial Complexities for Strong Motion Prediction. Seismic Requalification of Pile Supported Structures (SRPSS), IIT Guwahati, 7-9 January, 2015.
• Sangeetha, S., Premdheep, S., Dhilip and Galisahith (2010). Pushover analysis of a LIG apartment considering the effect of brick masonry infill. National Research Conference On Disaster Mitigation In Housing In INDIA, IIT-ROORKEE, 19-20 March, 2010.