Musamba Banza | Environmental Science | Best Researcher Award

Posted on by Academic achievements

Musamba Banza | Environmental Science | Best Researcher Award

Postdoc fellow | UNISA | South Africa

Dr. Musamba Jean Claude Banza is a distinguished researcher and expert in machine learning and material development, with a strong commitment to advancing sustainable technologies. His research spans multiple domains, including machine learning applications in computer vision, natural language processing, and predictive analytics, alongside material science innovations aimed at addressing environmental challenges. Dr. Banza has contributed to the development of advanced materials like biodegradable packaging, polymeric hydrogels for environmental remediation, and nanocomposites for wastewater treatment. He is passionate about exploring cutting-edge technologies to solve complex real-world problems and has a track record of delivering impactful solutions. Dr. Banza holds a Ph.D. in Chemical Engineering from Vaal University of Technology and has published extensively in international journals. His work is recognized globally, having earned him several awards for excellence in research and innovation.

Profile

Orcid

Scopus

Education

Dr. Musamba Jean Claude Banza completed his Doctor of Philosophy (Ph.D.) in Chemical Engineering at Vaal University of Technology in 2022. His academic journey began with a Bachelor of Technology in Chemical Engineering (2014), followed by a Master of Technology in Chemical Engineering (2019), also from Vaal University of Technology. He further honed his expertise in the field with a National Diploma in Chemical Engineering (2016). Throughout his studies, Dr. Banza consistently demonstrated excellence, paving the way for his future groundbreaking work in machine learning and material development. His education provided him with a solid foundation in chemical engineering principles, materials science, and data analysis, which he has successfully applied in both academic research and industrial projects. His studies in sustainable materials and environmental science form the backbone of his innovative solutions in addressing pressing global challenges.

 

Experience

Dr. Musamba Jean Claude Banza has extensive professional experience in both academia and industry. He currently holds a Postdoctoral Fellowship at the University of South Africa (2025-2027) in the Department of Environmental Sciences. Prior to this, he worked as a Postdoctoral Fellow at Vaal University of Technology from 2023 to 2024, contributing to research in the Department of Chemical and Metallurgical Engineering. Between 2019 and 2022, Dr. Banza served as a part-time lecturer and supervised numerous Bachelor’s and Master’s students. His industry experience includes working at Ruashi Mining (Metorex and Jinchuan Group) from 2012 to 2014, where he optimized copper and cobalt leaching circuits and conducted mass balance analysis and water balance studies. His diverse career has allowed him to bridge the gap between research and practical applications, demonstrating his ability to apply theoretical knowledge to real-world challenges in both academia and the industrial sector.

Research Interests

Dr. Musamba Jean Claude Banza’s research focuses on the intersection of machine learning, material development, and environmental science. He has made significant strides in applying machine learning techniques, such as artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS), to solve complex challenges in various fields, including water treatment and environmental remediation. His work includes the development of advanced materials, such as biodegradable packaging, nanocomposites, and polymeric hydrogels designed to remove organic dyes, heavy metals, and rare earth elements from wastewater. Dr. Banza’s research also emphasizes the optimization of adsorption processes using novel materials for sustainable solutions in hydrometallurgical effluent treatment. By combining his expertise in material science with advanced machine learning algorithms, Dr. Banza is creating groundbreaking solutions that address both environmental and industrial challenges. His focus on sustainability and performance has led to practical applications that contribute to cleaner, safer environments.

Awards

Dr. Musamba Jean Claude Banza has received several prestigious awards for his exceptional contributions to research and innovation. In 2021, he was recognized as a Young Researcher by the International Academic Awards for his pioneering work in material science and machine learning. He was again honored in 2024 when he was selected as the Best Researcher by the International Academic Awards, acknowledging his significant impact on environmental remediation technologies and sustainable materials. Additionally, Dr. Banza earned a certificate from Elsevier for his article’s contribution to the United Nations Sustainable Development Goals, showcasing the global relevance of his research. These accolades underscore his dedication to addressing critical environmental issues through innovative scientific solutions. Dr. Banza’s awards demonstrate his consistent excellence in both academic and applied research, marking him as a leader in his field.

Publications

Blast Furnace Slag for SO2 Capture: Optimization and Prediction Using Response Surface Methodology and Artificial Neural Network

Authors: Kohitlhetse, I., Evans, S.K., Banza, M., Makomere, R.

Journal: Chemical Industry and Chemical Engineering Quarterly

Year: 2024

Volume: 30(4), pp. 349–357

Citations: 0

Modeling of Biomethane Production from Ultrasonic Pretreated Fruit and Vegetable Waste via Anaerobic Digestion

Authors: Matobole, K., Seodigeng, T., Banza, M., Rutto, H.

Journal: Journal of Environmental Science and Health – Part A Toxic/Hazardous Substances and Environmental Engineering

Year: 2024

Volume: 59(10), pp. 513–522

Citations: 0

Batch and Continuous Fixed Bed Adsorption of Copper (II) from Acid Mine Drainage (AMD) Using Green and Recyclable Adsorbent from Cellulose Microcrystals (CMCs)

Authors: Banza, M., Seodigeng, T., Linda, S., Owona, S., Musampa, P.

Journal: Journal of Environmental Science and Health – Part A Toxic/Hazardous Substances and Environmental Engineering

Year: 2024

Volume: 59(9), pp. 488–498

Citations: 0

Preparation, Characterization, and Application of Polymeric Ultra-Permeable Biodegradable Ferromagnetic Nanocomposite Adsorbent for Removal of Cr(VI) from Synthetic Wastewater: Kinetics, Isotherms, and Thermodynamics

Authors: Suter, E., Rutto, H., Makomere, R., Kiambi, S., Omwoyo, W.

Journal: Frontiers in Environmental Chemistry

Year: 2024

Volume: 5, Article: 1451262

Citations: 1

The Impact of Ozone Treatment on the Removal Effectiveness of Various Refractory Compounds in Wastewater from Petroleum Refineries

Authors: Khoza, N., Seodigeng, T., Banza, M., Ochieng, A.

Journal: Journal of Environmental Science and Health – Part A Toxic/Hazardous Substances and Environmental Engineering

Year: 2024

Volume: 59(4), pp. 189–199

Citations: 0

Energy Storage Through a Regenerative Hydrogen Fuel Cell in a Hybrid System of Renewable Energy for Power Generation

Authors: Nkwambe, M.S., Sutherland, T., Seodigeng, T., Banza, M.

Journal: Chemical Engineering Transactions

Year: 2024

Volume: 108, pp. 73–78

Citations: 2

Mass Transfer Modelling of Sclerocarya Birrea Kernels in Supercritical Carbon Dioxide

Authors: Reddy, T., Seodigeng, T., Banza, M., Rutto, H.

Journal: Chemical Engineering Transactions

Year: 2024

Volume: 108, pp. 25–30

Citations: 0

Application of Artificial Neural Network and Shrinking Core Model for Copper (II) and Lead (II) Leaching from Contaminated Soil Using Ethylenediaminetetraacetic Acid

Authors: Banza, M., Rutto, H., Seodigeng, T.

Journal: Soil and Sediment Contamination

Year: 2024

Volume: 33(1), pp. 43–63

Citations: 5

Comparison Study of ANFIS, ANN, and RSM and Mechanistic Modeling for Chromium(VI) Removal Using Modified Cellulose Nanocrystals–Sodium Alginate (CNC–Alg)

Authors: Banza, M., Seodigeng, T., Rutto, H.

Journal: Arabian Journal for Science and Engineering

Year: 2023

Volume: 48(12), pp. 16067–16085

Citations: 16

The Use of Artificial Neural Network (ANN) in Dry Flue Gas Desulphurization Modeling: Levenberg–Marquardt (LM) and Bayesian Regularization (BR) Algorithm Comparison

Authors: Makomere, R., Rutto, H., Koech, L., Banza, M.

Journal: Canadian Journal of Chemical Engineering

Year: 2023

Volume: 101(6), pp. 3273–3286

Citations: 15

 

Conclusion

Given his innovative contributions to sustainable technologies, interdisciplinary research in machine learning and material development, and global recognition through multiple awards, Dr. Musamba Jean Claude Banza is undoubtedly deserving of the Best Researcher Award. His research, publications, and commitment to making a lasting impact on both industry and academia further solidify his candidacy. Dr. Banza’s work is poised to continue influencing global solutions for environmental challenges, making him an outstanding candidate for this prestigious recognition.

Goitom Tesfay | Agricultural Meteorology and Climate Change | Best Researcher Award

Posted on by Academic achievements

Mr. Goitom Tesfay | Agricultural Meteorology and Climate Change | Best Researcher Award 

PhD Fellow at Chinese Academy of Agricultural Sciences, China

Goitom Tesfay Mareke is a dedicated researcher and academic specializing in Agrometeorology and Climate Change. With a strong academic background and extensive experience in both teaching and research, he has established himself as a notable figure in the field. Currently pursuing a PhD at the Chinese Academy of Agricultural Sciences, his work focuses on climate risk assessment and developing innovative climate-resilient technologies for agriculture. His career reflects a commitment to understanding and addressing the impacts of climate change on agriculture, particularly in his native Ethiopia, and his ongoing research aims to enhance crop production and resilience to climate variability.

Profile

Google Scholar

Education

Goitom Tesfay Mareke’s educational journey began with a Bachelor of Education in Geography and Environment from Mizan-Tepi University, Ethiopia. He furthered his studies with a Master of Education in Geography and Environmental Education at Addis Ababa University. To complement his academic qualifications, he pursued a Higher Diploma in Teaching in Higher Education from Wollo University. His current doctoral research at the Chinese Academy of Agricultural Sciences underscores his commitment to advancing knowledge in agrometeorology and climate change, supported by a series of specialized certificates in climate science and disaster risk reduction from esteemed institutions worldwide.

Experience

Goitom Tesfay Mareke has accumulated extensive experience in academia and research. He has served as a lecturer and head of the Department of Geography and Environmental Studies at Wollo University, where he has been involved in teaching, curriculum development, and departmental administration. His roles have included guiding undergraduate students, participating in community services, and contributing to various academic committees. His current position as a PhD scholar at the Chinese Academy of Agricultural Sciences involves in-depth research on climate risk and agricultural resilience. His diverse experience highlights his leadership skills, dedication to education, and active engagement in advancing his field.

Research Interest

Goitom Tesfay Mareke’s research interests are centered on agrometeorology and climate change, specifically focusing on climate risk assessment and the development of climate-resilient technologies for agriculture. His work aims to understand the effects of climate variability on crop production and to devise innovative solutions to enhance agricultural resilience. He explores topics such as climate adaptation strategies, carbon stock potential, and the integration of climate risk information into agricultural planning. His research contributes to addressing the challenges posed by climate change and supports sustainable agricultural practices.

Awards

Throughout his career, Goitom Tesfay Mareke has been recognized for his contributions to research and academia. His dedication to advancing knowledge in agrometeorology and climate change has been acknowledged through various certifications and training programs. These awards and recognitions reflect his commitment to excellence and his continuous efforts to enhance his expertise in the field of climate science and agriculture.

Publication

Goitom Tesfay Mareke has published research in several reputable journals, demonstrating his active involvement in the scientific community:

  1. “Adaptation Potential of Current Wheat Cultivars and Planting Dates under the Changing Climate in Ethiopia”
    Published in Agronomy, 2022. Link to publication
    Cited by: 10
  2. “Carbon stock potential of Sekele Mariam forest in North Western Ethiopia: an implication for climate change mitigation”
    Published in Model. Earth Syst. Environ., 2021. Link to publication
    Cited by: 15

Conclusion:

Goitom Tesfay Mareke demonstrates significant strengths that make him a strong candidate for the Research for Best Researcher Award. His expertise in climate change and agriculture, extensive experience in teaching and research, commitment to professional development, and international exposure are notable assets. To further enhance his candidacy, focusing on high-impact publications, expanding his grant experience, increasing international collaboration, and strengthening public engagement would be beneficial. Overall, his achievements and ongoing contributions to the field of climate science and agrometeorology make him a commendable candidate for the award.

 

Mizbah Ahmed Sresto | Environmental Science, Geography and Urban Planning | Best Researcher Award

Posted on by Academic achievements

Mr.Mizbah Ahmed Sresto | Environmental Science, Geography and Urban Planning | Best Researcher Award

Student Khulna University of Engineering & Technology Bangladesh

Mizbah Ahmed Sresto specializes in environmental research using geospatial technology and machine learning techniques. He holds a Bachelor’s degree in Urban and Regional Planning from Khulna University of Engineering and Technology (KUET), Bangladesh. Mizbah has professional experience as a GIS Analyst and Junior Urban Planner, focusing on GIS data analysis and urban planning projects. His research interests include land use transformation, hazard mapping, and natural resource management. Mizbah has received awards for his academic achievements and has published in peer-reviewed journals on topics related to remote sensing and environmental sustainability.

Profile

Google Scholar

👨‍🎓 Education

Mizbah Ahmed Sresto holds a Bachelor’s degree in Urban and Regional Planning from Khulna University of Engineering and Technology (KUET), Bangladesh, with a CGPA of 3.12 out of 4.00.

🏢 Professional Experience

As a GIS Analyst at Desh Upodesh Limited (DUL), Mizbah specializes in GIS data preparation and management, utilizing geospatial tools for road inventory and condition surveys.

🔬 Research Interests

Mizbah focuses on environmental research using geospatial technology and machine learning. His expertise includes land use transformation, hazard mapping, and natural resource management.

🏆 Awards

Mizbah has received the Dean’s Award from KUET Civil Faculty and the Scopus Index Author Award for outstanding research contributions.

📚 Publications

  • Sresto, M. A., et al. (2022). A GIS and remote sensing approach for measuring summer-winter variation of land use and land cover indices and surface temperature in Dhaka district, Bangladesh. Heliyon. Article Link
  • Sresto, M. A., et al. (2022). Impact of COVID-19 Lockdown on Vegetation Indices and Heat Island Effect: A Remote Sensing Study of Dhaka City, Bangladesh. Sustainability. Article Link
  • Roy, T. K., Siddika, S., & Sresto, M.A. (2022). Assessment of Urban Resiliency Concerning Disaster Risk: A Review on Multi-Dimensional Approaches. Journal of Engineering Science. Article Link
  • Sresto, M. A., et al. (2022). Groundwater vulnerability assessment in Khulna district of Bangladesh by integrating fuzzy algorithm and DRASTIC (DRASTIC-L) model. Modelling Earth Syst. and Environment. Article Link
  • Sresto, M. A., et al. (2021). Application of fuzzy analytic hierarchy process and geospatial technology to identify groundwater potential zones in north-west region of Bangladesh. Environmental Challenges. Article Link
  • Haque, M., Siddika, S., Sresto, M.A. et al. (2021). Geo-spatial Analysis for Flash Flood Susceptibility Mapping in the North-East Haor (Wetland) Region in Bangladesh. Earth System and Environment. Article Link

 

Risto Conte Keivabu | Population and Environment | Best Researcher Award

Posted on by Academic achievements

Mr. Risto Conte Keivabu | Population and Environment | Best Researcher Award Researcher Award

Mr. Risto Conte Keivabu ,Max Planck Institute for Demographic Research, Germany

Risto Conte Keivabu is affiliated with the Max Planck Institute for Demographic Research in Germany. His research focuses on demographic trends and their implications, with a particular interest in population dynamics and social policy. Keivabu’s work contributes significantly to understanding global population changes and their impact on societies worldwide.

Profile

Scopus

Education:

Ph.D. in Social and Political Sciences,European University Institute, Italy (2018 – 2022),Master of Research in Social and Political Sciences,European University Institute, Italy (2018 – 2019),Master in Comparative Public Policy and Welfare Studies,University of Southern Denmark, Denmark (2016 – 2018),Bachelor in Political Science: International History and Politics,University of Padova, Italy (2013 – 2016)

 Experience:

Current PositionResearch Scientist (Post-doc),Digital and Computational Demography Lab, Max Planck Institute for Demographic Research, Germany (09/2022 – present)

Awards and Honors:

Employment grant covering Ph.D. studies, Danish Ministry of Education (2018 – 2022),Talented student program grant, Centre for Welfare State Research, SDU (2018),Erasmus program grant, University of Padova (2015)

Research Focus:

Primary Research Interests,Climate change impacts on demographics, public health, and inequality,Environmental inequalities and socio-economic disparities,Demographic responses to extreme weather events

 publications:

  • ournal Articles
    • 9 publications in journals like “Population Studies,” “iScience,” “Research in Social Stratification and Mobility,” etc.
  • Working Papers
    • 2 working papers including topics on racial disparities in temperature-related deaths and academic impacts of low emission zones.