Bangabandhu Sheikh Mujibur Rahman
Maritime University, Bangladesh

About: Md. Ashif Imam Khan is an early-career scientist who majors in Oceanography. His research interest lies in performing spatial and temporal analysis using remotely sensed and model datasets incorporating physical, chemical, biological, and meteorological aspects of the ocean and atmosphere.

Research Area:

Physical oceanography, Remote sensing, Climate modeling, Marine Biogeochemistry, Paleoclimate Simulation. 

Research Interests:

• Ocean Color algorithm development and validation
• Impact of changing sea ice on biophysical processes 
• Utilizing CMIP models to compare LGM, LIG, and PI conditions.

Academic Qualifications:

Sl	Exam	Institute	Year	Result
1	S.S.C	St. Joseph Higher Secondary School	2014	5.00
2	H.S.C	Notre Dame College	2016	5.00
3	B.Sc in Oceanography	BSMR Maritime University, Bangladesh	2020	3.71
4	M.Sc. in Oceanography	BSMR Maritime University, Bangladesh	2023	3.82

In Service Courses, Symposium, Workshop and Seminar:

Sl	Title	Institute	Year	Remarks
1	Machine Learning with Python	IBM Developers Skills Network	2024
2	Python 101 for Data Science	IBM Developers Skills Network	2023
3	Joint IPWG and GPM Applications Webinar Training Series	The International Precipitation Working Group (IPWG) and the Global Precipitation Measurement (GPM) Applications Team, NASA	2021
4	Introduction and Access to Global Air Quality Forecasting Data and Tools. NASA Applied Remote Sensing Training Program	Applied Remote Sensing Training (ARSET), NASA	2021
5	Ecology: Ecosystem Dynamics and Conservation	American Museum of Natural History and Howard Hughes Medical Institute (Coursera)	2020
6	Introduction to the Arctic: Climate	University of Alberta (Coursera)	2020
7	Mountain 101	University of Alberta (Coursera)	2020

Publications:

1. Spatial variability of the winter thermal inversion in the northern Bay of Bengal. Regional Studies in Marine Science, 53, (2022): 102417. https://doi.org/10.1016/J.RSMA.2022.102417
2. Surface temperature and salinity in the northern Bay of Bengal: in situ measurements compared with satellite observations and model output. Journal of Applied Remote Sensing, 16.1, (2022): 018502. https://doi.org/10.1117/1.JRS.16.018502
3. The Decadal Response of Vegetation in the Sundarbans Mangrove Forest to the Climate Variabilities: Observing from the Space. Remote Sensing in Earth Systems Sciences, 4.3, (2021): 141–157. https://doi.org/10.1007/s41976-021-00055-0
4. In-situ datasets of important physical and bio-chemical parameters in the continental shelf of the northern Bay of Bengal. Data in Brief, 35, (2021): 106947. https://doi.org/10.1016/j.dib.2021.106947
   
5. Modeling spatio-temporal variability of suspended matter and its relation with hydrodynamic parameters in the northern Bay of Bengal. Modeling Earth Systems and Environment, (2020): 1–14. https://doi.org/10.1007/s40808-020-01053-9
6. An exclusive in-situ dataset on physicochemical parameters in the gappy northern Bay of Bengal. Data in Brief, 31, (2020): 106024. https://doi.org/10.1016/j.dib.2020.106024