Paskari Odoi | Science Integration | Best Researcher Award

Mr. Paskari Odoi | Science Integration | Best Researcher Award

Paskari Odoi | Makerere University | Uganda

Dr. Paskari Odoi is an emerging Ugandan scholar and Assistant Lecturer in the Department of Sociology and Anthropology at Makerere University, with a strong research focus on medical anthropology and public health. He holds a Master’s degree in Sociology and is currently pursuing a PhD in Medical Anthropology at Makerere University. His growing academic influence is reflected in 4 published documents, 5 citations, and an h-index of 1, indicating his early yet impactful contributions to social and health sciences research. Dr. Odoi has co-authored significant studies such as ethnographic analyses on schistosomiasis perceptions and barriers to mass drug administration, published in high-impact journals like BMC Public Health and PLoS Neglected Tropical Diseases. His research integrates sociocultural insights with public health strategies to address persistent tropical diseases in Ugandan communities. A recipient of prestigious awards such as the Erasmus+ Mobility Scholarship and the FibroScHot PhD Scholarship (Makerere–Cambridge collaboration), he actively participates in international scientific conferences and peer reviews for leading journals. Through his teaching, field research, and scholarly engagements, Dr. Odoi continues to build a strong foundation for impactful academic and applied social research in health, inequality, and development.

Profile:  Scopus

Featured Publications

Anyolitho, M. K., Neema, S., Odoi, P., Adriko, M., Vennervald, B. J., Tukahebwa, E. M., & Wilson, S. (2025). Community insights into societal causes of and solutions for schistosomiasis transmission in Lake Albert fishing villages: A participatory approach. Health and Place

Muhammad Haseeb | Environmental Science | Young Scientist Award

Mr. Muhammad Haseeb | Environmental Science | Young Scientist Award

Mr. Muhammad Haseeb, University of the Punjab Lahore, Pakistan

Mr. Muhammad Haseeb is an environmental scientist and Visiting Lecturer at the University of the Punjab, Lahore, Pakistan. He holds an MPhil in Environmental Science from the University of Engineering and Technology, Lahore, and an MSc in Environmental Sciences from the University of the Punjab. His research focuses on air pollution modeling, carbon footprint analysis, and the application of remote sensing and GIS in environmental management. A recipient of the University Gold Medal, he has expertise in GIS, remote sensing, machine learning, and environmental sustainability.

Profile

Scopus

Summary:

Mr. Muhammad Haseeb is an accomplished young scientist with expertise in environmental science, remote sensing, and GIS. His academic achievements, research focus on air pollution and carbon footprint analysis, and technical proficiency make him a strong candidate for the Research for Young Scientist Award. His commitment to teaching and mentoring students further enhances his profile.

 

🎓 Education

Muhammad Haseeb holds an MPhil in Environmental Science from the University of Engineering and Technology, Lahore, with a strong academic record, earning a CGPA of 3.85/4.00. His thesis focused on developing a predictive model for air pollution and smog in Lahore, showcasing his expertise in environmental modeling and atmospheric studies. He also earned an MSc in Environmental Sciences from the University of the Punjab, where he achieved a CGPA of 3.92/4.00. His MSc research involved a quantitative analysis of the carbon footprint at the University of the Punjab, highlighting his skills in sustainability assessment and carbon accounting.

 

💼Experience

Currently serving as a Visiting Lecturer at the Department of Space Science, University of the Punjab, Muhammad Haseeb teaches courses on Remote Sensing, GIS, Meteorology, and Machine Learning, reflecting his dedication to education and research in geospatial sciences. Previously, he worked as a Remote Sensing and GIS Expert at Bit Bricks, where he played a key role in satellite image processing, flood mapping, vegetation analysis, and GIS project management. His experience includes advanced image processing techniques, such as radiometric and geometric corrections, supervised classification, and NDVI analysis for vegetation health assessment.

 

🔬Research Focus

Muhammad Haseeb’s research is centered on environmental modeling, air pollution prediction, carbon footprint analysis, and the application of remote sensing and GIS in environmental management. His work contributes to understanding urban air quality dynamics, sustainable land use planning, and climate change mitigation strategies, particularly in the context of Pakistan’s environmental challenges.

 

Awards 

His academic excellence has been recognized through several prestigious awards, including a University Gold Medal for securing the top position in his MSc Environmental Sciences program at the University of the Punjab. He also received a merit scholarship for two consecutive years for his outstanding performance. Additionally, he won the Environmental Chemistry Quiz Competition at the College of Earth and Environmental Sciences, further demonstrating his strong foundation in environmental sciences.

 

Skills

Muhammad Haseeb is proficient in geospatial technologies, including Google Earth Engine, ArcGIS, QGIS, and MATLAB, along with programming languages such as Python and R for machine learning applications. His expertise extends to environmental modeling, air pollution analysis, remote sensing, and GIS-based spatial analysis. He has also completed specialized training programs from the Asian Development Bank on sustainable development, climate change, and infrastructure.

 

Publications

  • Enhancing Carbon Sequestration through Afforestation: Evaluating the Impact of Land Use and Cover Changes on Carbon Storage Dynamics
    • Year: 2024
    • Authors: Haseeb, M., Tahir, Z., Mehmood, S.A., Abdullah-Al-Wadud, M., Tariq, A.
    • Journal: Earth Systems and Environment
    • Citations: 4

 

  • Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
    • Year: 2024
    • Authors: Haseeb, M., Tahir, Z., Mahmood, S.A., Soufan, W., Tariq, A.
    • Journal: Journal of Atmospheric and Solar-Terrestrial Physics
    • Citations: 3

 

  • Evaluation of Land Use Land Cover Changes in Response to Land Surface Temperature With Satellite Indices and Remote Sensing Data
    • Year: 2024
    • Authors: Zhao, Q., Haseeb, M., Wang, X., Soufan, W., Almutairi, K.F.
    • Journal: Rangeland Ecology and Management
    • Citations: 6

 

  • Predicting Soil Erosion Risk Using the Revised Universal Soil Loss Equation (RUSLE) Model and Geo-Spatial Methods
    • Year: 2024
    • Authors: Naqvi, S.A.A., Tariq, A., Shahzad, M., Haseeb, M., Soufan, W.
    • Journal: Hydrological Processes
    • Citations: 4

 

  • Assessing Long-Term Variability and Trends in Temperature and Precipitation in Gilgit and Hunza River Basins
    • Year: 2024
    • Authors: Shazil, M.S., Mahmood, S.A., Ahmad, S., Qureshi, J., Batool, S.
    • Journal: Environmental Earth Sciences
    • Citations: 0

 

  • Assessment of Soil Erosion Dynamics and Implications for Sustainable Land Management: A Case Study Using the RUSLE Model (Article in Press, Open Access)
    • Year: 2024
    • Authors: Zhang, L., Haseeb, M., Tahir, Z., Almutairi, K.F., Soufan, W.
    • Journal: International Journal of Sediment Research
    • Citations: 0

 

  • Multi-Temporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques (Article in Press)
    • Year: 2024
    • Authors: Hao, Z., Haseeb, M., Xiangtian, Z., Abdullah-Al-Wadud, M., El-Askary, H.
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Citations: 0

 

Conclusion:

Given his academic excellence, research contributions, technical expertise, and recognition through awards, Mr. Muhammad Haseeb is a highly competitive candidate for the Research for Young Scientist Award. Strengthening his publication record, international collaborations, and research funding efforts would further enhance his standing for such prestigious honors.