Staff profiles
Bipin PeethambaranEngineering Geologist / Geomorphologist
Biography
Dr. Bipin Peethambaran is an Engineering Geologist specializing in landslide hazard and risk assessment, with experience across diverse terrains, including the Himalayas, the Western Ghats of India, the U.S. West Coast, and now New Zealand. His expertise spans landslide inventorying, susceptibility mapping, risk analysis, stability & runout modelling, and mitigation design. Proficient in artificial intelligence & machine learning, numerical modelling, physically based modelling, and remote sensing & GIS, he integrates geological and geotechnical sciences with advanced soft computing & numerical modelling techniques to enhance hazard assessment and risk mitigation strategies.
Qualifications
- MSc, Applied Geology
- BSc, Geology
- PhD, Earth Sciences
Areas of expertise
- Geology: Soil Mechanics
- Geology: Rock Mechanics
- Geology: Engineering Geology
- Geology: Landslide Hazard Assessment
- Geology: Landslides
- Technical: Artificial Intelligence
- Technical: Data analysis
- Technical: Deep Learning
- Technical: Field Work
- Technical: GIS
- Technical: Image analysis
- Technical: Image clasification and clustering
- Technical: Machine Learning
- Technical: Natural hazard mapping
- Technical: Remote sensing data applications
- Technical: Terrestrial Laser Scanning
- Geomorphology: Flood and landslide hazard assessment
- Geomorphology: Geological and geomorphological mapping
- Geomorphology: Geospatial analysis
- Geomorphology: Hazard Assessment
- Geomorphology: Landscape evolution
Publications
Selection of major publications
- Evaluating transient drawdown and slope stabilization from horizontal drain installation, Computers & Geotechnics 167: 12 p.. DOI: 10.1016/j.compgeo.2023.106044. 12 p.
- Engineering geological investigation and runout modelling of the disastrous Taliye landslide, Maharashtra, India of 22 July 2001, Natural Hazards 117: p. 3257-3272. DOI: 10.1007/s11069-023-05985-0. p. 3257-3272
- Application of landslide susceptibility towards urbanization suitability zonation in mountainous settings, International Journal of Disaster Risk Reduction 97: 18 p.. DOI: https://doi.org/10.1016/j.ijdrr.2023.104061. 18 p.
- Landslide susceptibility zonation around Dharamshala, Himachal Pradesh, India: an artificial intelligence modelbased assessment, Bulletin of Engineering Geology and the Environment 81(310): 24 p.. DOI: 10.1007/s10064-022-02806-9. 24 p.
- Insights to pre- and post-event stability analysis of rainfall-cum-anthropogenically induced recent Laxmanpuri landslide, Uttarakhand, India, Environmental Earth Sciences 81(22): 11 p.. DOI: 10.1007/s12665-021-10143-5. 11 p.
- A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas, Catena 195: 14 p.. DOI: 10.1016/j.catena.2020.104751. 14 p.
- Robustness evaluation of fuzzy expert system and extreme learning machine for geographic information system-based landslide susceptibility zonation: A case study from Indian Himalaya, Environmental Earth Sciences 78(231): 20 p.. DOI: 10.1007/s12665-019-8225-0. 20 p.
- Landslide susceptibility mapping in and around Mussoorie Township using fuzzy set procedure, MamLand and improved fuzzy expert system - A comparative study, Natural Hazards 96: p. 121-147. DOI: 10.1007/s11069-018-3532-4. p. 121-147
- Prediction of landslide displacement with controlling factors using extreme learning adaptive neuro-fuzzy inference system (ELANFIS), Applied Soft Computing 61: p. 892-904. DOI: 10.1016/j.asoc.2017.09.001. p. 892-904
- Landslide displacement prediction technique using improved neuro-fuzzy system, Arabian Journal of Geosciences 10(502): 14 p.. DOI: 10.1007/s12517-017-3278-4. 14 p.