Mudassir Khan | Environmental Science | Best Researcher Award

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Mr. Mudassir Khan | Environmental Science | Best Researcher Award

Mudassir Khan at Quaid-i-Azam University Islamabad, Pakistan

Summary:

Mudassir Khan is a dedicated environmental scientist with a passion for leveraging technology to understand and address environmental challenges. With a Master’s degree in Environmental Sciences specializing in GIS and RS, and currently pursuing a Ph.D., Mudassir has honed his skills in spatial analysis and data science. His research interests lie in analyzing land use/land cover changes, land surface temperature variations, and hydrological modeling using advanced techniques. Recognized for his academic excellence with gold and silver medals, Mudassir is committed to making meaningful contributions to the field of environmental science. Equipped with a diverse skill set in GIS, RS, programming, and statistical analysis, he aims to develop innovative solutions for sustainable environmental management.

Professional Profile:

👩‍🎓Education

Mr. Mudassir Khan holds a Ph.D. fellowship at Quaid-i-Azam University Islamabad since September 2021. Prior to this, he completed his Master of Sciences in Environmental Sciences with a specialization in GIS & RS from COMSATS University Islamabad in March 2020, achieving a remarkable CGPA of 3.81/4.00 and earning the Silver Medal. His master’s thesis focused on the estimation of Land Use Land Cover Changes and Land Surface Temperature in District Swabi, Pakistan. Mr. Khan’s academic excellence continued during his Bachelor of Sciences in Environmental Sciences at Abdul Wali Khan University Mardan, where he graduated as a Gold Medalist in July 2017 with a CGPA of 3.89/4.00. His bachelor’s thesis investigated the seasonal snow variation in District Chitral, a Hindukush Mountain Region of Pakistan, utilizing GIS and RS techniques.

Professional Experience

Mr. Mudassir Khan has a rich professional experience that complements his academic achievements. Notably, he completed an internship at the National Agriculture Research Center Islamabad, Pakistan, during July-August 2016. In this role, he worked on modeling groundwater quality for irrigation purposes in District Bahawalpur, Pakistan. This experience provided him with valuable insights into real-world applications of environmental research and analytical skills.

Research Interest

Mr. Mudassir Khan’s research interests span a wide spectrum within the field of environmental sciences, with a particular focus on Geographic Information Systems (GIS) and Remote Sensing (RS). His expertise lies in several key areas, including Land Use Land Cover Analysis, Land Surface Temperature Analysis, and the application of Machine Learning techniques for simulating environmental phenomena. Additionally, he is deeply engaged in Hydrological Modeling, Landslide Susceptibility Analysis, and Species Distribution Modeling/Habitat Suitability Modeling. Mr. Khan’s research agenda is characterized by an interdisciplinary approach, leveraging advanced spatial analysis methods and cutting-edge technologies to address complex environmental challenges.

Award and Honors

Mr. Mudassir Khan has garnered prestigious awards and honors throughout his academic journey, recognizing his outstanding achievements and contributions to the field of environmental sciences. Notably, he was awarded the Silver Medal for his exceptional performance during his Master of Sciences in Environmental Sciences program at COMSATS University Islamabad, where he specialized in Geographic Information Systems (GIS) and Remote Sensing (RS). Furthermore, he was honored with the Gold Medal for his exemplary academic performance during his Bachelor of Sciences in Environmental Sciences program at Abdul Wali Khan University Mardan. These accolades underscore Mr. Khan’s dedication to academic excellence and his significant contributions to the advancement of environmental research and technology.

Research Skills

Mr. Mudassir Khan possesses a comprehensive skill set in research methodologies and data analysis techniques, enabling him to conduct rigorous and insightful environmental research. Proficient in both quantitative and qualitative research approaches, he excels in data collection, processing, and interpretation. His expertise includes advanced spatial analysis using Geographic Information Systems (GIS) and Remote Sensing (RS) technologies, allowing him to analyze complex environmental phenomena such as land use/land cover changes and land surface temperature variations. Moreover, Mr. Khan is adept at employing statistical software such as SPSS, Minitab, and R for data analysis and modeling, facilitating the generation of valuable insights from environmental datasets. His proficiency in programming languages like R, Python, and JavaScript further enhances his research capabilities, enabling him to develop innovative solutions and predictive models for environmental challenges. With a strong foundation in research methodology and a diverse skill set in data analysis and programming, Mr. Mudassir Khan is well-equipped to address complex environmental issues and contribute significantly to the advancement of environmental science research.

Publications

  1. Machine learning-based assessment and simulation of land use modification effects on seasonal and annual land surface temperature variations
    • Authors: Khan, M., Qasim, M., Tahir, A.A., Farooqi, A.
    • Year: 2023
    • Citations: 2
    • Journal: Heliyon
  2. Spatial and temporal analyses of land use changes with special focus on seasonal variation in snow cover in District Chitral; a Hindu Kush mountain region of Pakistan
    • Authors: Qasim, M., Khan, M., Rashid, W.
    • Year: 2023
    • Citations: 3
    • Journal: Remote Sensing Applications: Society and Environment
  3. Trends and projections of land use land cover and land surface temperature using an integrated weighted evidence-cellular automata (WE-CA) model
    • Authors: Khan, M., Tahir, A.A., Ullah, S., Shahid, S.U., Nazir, A.
    • Year: 2022
    • Citations: 4
    • Journal: Environmental Monitoring and Assessment
  4. Remote sensing-based quantification of the relationships between land use land cover changes and surface temperature over the lower Himalayan region
    • Authors: Ullah, S., Tahir, A.A., Akbar, T.A., Khan, A.J., Khan, M.
    • Year: 2019
    • Citations: 94
    • Journal: Sustainability (Switzerland)