Dr. Alifu Haireti ,Saint Louis University, United States
Dr. Alifu Haireti is a faculty member at Saint Louis University, United States, specializing in advanced research and academic excellence. Dr. Haireti is dedicated to advancing knowledge and fostering innovation through scholarly work and professional engagement.
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Summary:
Dr. Alifu Haireti, as a faculty member at Saint Louis University, exemplifies qualities of a researcher dedicated to innovation and academic excellence. Their specialization in advanced research positions them as a leader in fostering knowledge and inspiring future academic endeavors. Dr. Haireti’s professional engagement further underlines their dedication to the field.
🎓 Education
Dr. Alifu Haireti holds a Ph.D. in Environmental Remote Sensing from Chiba University, Japan, where he specialized in delineating debris-covered glaciers using geomorphometric parameters and Landsat band ratios. He also earned his Master’s in Environmental Remote Sensing from the same institution, focusing on glacier mapping and area change detection. He completed his Bachelor’s in Communication Engineering at Sichuan University, China.
💼Experience
Dr. Haireti currently serves as a Geospatial Computing Engineer at the Taylor Geospatial Institute, Saint Louis University, where he works on precision agriculture and carbon sequestration research. Previously, he was a postdoctoral researcher at Saint Louis University, developing climate-resilient smart crops, and at the Hirabayashi Lab, Japan, focusing on the impacts of global warming on extreme floods and river dynamics.
🔬Research Focus
Dr. Haireti’s research encompasses environmental monitoring, flood dynamics, glacier studies, precision agriculture, and the integration of satellite observations with advanced modeling and machine learning techniques.
Awards
His accolades include the Outstanding Graduate Award from Chiba University, the Chinese Government Award for Outstanding Self-financed Students Abroad, and the Watanuki International Scholarship.
Dr. Haireti excels in remote sensing, GIS, hydrological modeling, and extreme event attribution. He is proficient in handling big data using Python in a Linux environment and has expertise in machine learning, UAV data collection, and various remote sensing technologies, including hyperspectral and LiDAR systems.
Publications
- Publication: Production of Global Land Cover Data–GLCNMO2013
Authors: K Toshiyuki, T Ryutaro, A Bayan, S Ram, W Takuma, M Daichi, …
Citation: 92
Year: 2017
- Publication: A new band ratio technique for mapping debris-covered glaciers using Landsat imagery and a digital elevation model
Authors: H Alifu, R Tateishi, B Johnson
Citation: 72
Year: 2015
- Publication: Enhancement of river flooding due to global warming
Authors: H Alifu, Y Hirabayashi, Y Imada, H Shiogama
Citation: 70
Year: 2022
- Publication: Machine-learning classification of debris-covered glaciers using a combination of Sentinel-1/-2 (SAR/optical), Landsat 8 (thermal) and Digital elevation data
Authors: A Haireti, V Jean-Francois, J Brian Alan, H Yukiko
Citation: 64
Year: 2020
- Publication: Residual flood damage under intensive adaptation
Authors: M Tanoue, R Taguchi, H Alifu, Y Hirabayashi
Citation: 62
Year: 2021
- Publication: Anthropogenic climate change has changed frequency of past flood during 2010-2013
Authors: Y Hirabayashi, H Alifu, D Yamazaki, Y Imada, H Shiogama, Y Kimura
Citation: 46
Year: 2021
- Publication: Detection of land subsidence in Kathmandu Valley, Nepal, using DInSAR technique
Authors: R Bhattarai, H Alifu, A Maitiniyazi, A Kondoh
Citation: 43
Year: 2017
- Publication: Delineation of debris-covered glaciers based on a combination of geomorphometric parameters and a TIR/NIR/SWIR band ratio
Authors: H Alifu, BA Johnson, R Tateishi
Citation: 32
Year: 2015
- Publication: Multi-criteria technique for mapping of debris-covered and clean-ice glaciers in the Shaksgam valley using Landsat TM and ASTER GDEM
Authors: A Haireti, R Tateishi, B Alsaaideh, S Gharechelou
Citation: 20
Year: 2016
- Publication: Inventory of Glaciers in the Shaksgam Valley of the Chinese Karakoram Mountains, 1970–2014
Authors: A Haireti, H Yukiko, J Brian Alan, V Jean-Francois, K Akihiko, U Minoru
Citation: 10
Year: 2018
Conclusion:
Dr. Alifu Haireti is a suitable and commendable candidate for the Research for Best Researcher Award. To further solidify their candidacy, evidence of impactful research outcomes and increased visibility through wider collaborations or public engagement would enhance their profile. Their existing strengths already establish them as a significant contributor to the academic community.