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.

Dominic Ndulue | Environmental Science | Best Researcher Award

Posted on by Academic achievements

Mr. Dominic Ndulue | Environmental Science | Best Researcher Award

University of Nigeria | Nigeria

Chukwuka Dominic Ndulue is a dedicated scholar from Oba, Anambra State, Nigeria. Known for his extensive research in Geomorphology and Geography, Ndulue has made significant strides in the field, contributing to various academic and practical applications.

Profile

ORCID

Education🎓

Ndulue’s academic journey began at All Saints Secondary School, Oraifite, Anambra State (2008-2014). He pursued a in Geography with First Class Honours at the University of Nigeria, Nsukka (2014-2018). He continued his studies with an in Geography at the University of Ibadan, Oyo State (2020-2023), and is currently pursuing a Ph.D. in Geography (Geomorphology) at the University of Nigeria, Nsukka.

Experience📚

Ndulue’s work experience includes serving as a Surveyor/Research Assistant at UD RUA Project Ltd since July 2020. He has also been a National Youth Service Corps (NYSC) member at the Department of Geography, College of Education Ikere, Ekiti State, and participated in the NYSC Community Development Service as a Flag Cadet.

Research Interest🔬

Ndulue’s research interests lie in Geomorphology, GIS, and Remote Sensing. His work has focused on soil erosion, land-use dynamics, and climate change impacts, with significant contributions to understanding terrain and landscape analysis.

Awards and Recognition🏅

Throughout his academic career, Ndulue has been recognized for his excellence. He has attended multiple workshops, such as the Capacity Building Workshop in Career and Leadership for Undergraduate Students and the Vocational Skill Acquisition/Training in Computer Appreciation and Web Design.

Publications📖

Ndulue has published numerous articles in renowned journals, including:

Hydrogeomorphological analysis of Niger River Sub-basins for flood prediction in Anambra State, Nigeria

  • Published in Arabian Journal of Geosciences, 2024
  • DOI: 10.1007/s12517-024-12127-8
  • Contributors: Romanus Udegbunam Ayadiuno; Dominic Chukwuka Ndulue

This article discusses flood prediction in the sub-basins of the Niger River, with a focus on hydrogeomorphological characteristics relevant to Anambra State.

Integrating Remote Sensing and GIS-Based Map Analysis in Determining Spread of Built-Ups and Land-Use Dynamics of Terrain of Onitsha Metropolis, Anambra State, Nigeria

  • Published in Land, 2024 (Volume 13, Issue 11)
  • DOI: 10.3390/land13111896
  • Contributors: Romanus Udegbunam Ayadiuno; Dominic Chukwuka Ndulue

This study employs remote sensing and GIS to analyze the spread of built-up areas and changes in land use in Onitsha, revealing significant urban growth and forecasting future trends.

A review of soil erosion modeling in Nigeria using the Revised Universal Soil Loss Equation model

This review by Dominic Chukwuka Ndulue provides insights into the use of the Revised Universal Soil Loss Equation (RUSLE) for soil erosion modeling in Nigeria, though specific citation and journal information were not available from the sources retrieved.

Conclusion✨

Ndulue’s journey from his early education to his current Ph.D. studies showcases his dedication and passion for Geography. His contributions to research and practice in Geomorphology have been recognized through various publications and awards. His continuous efforts in academia and fieldwork highlight his commitment to advancing knowledge in his field.

 

Pratima Gupta | Atmospheric Sciences | Women Researcher Award

Posted on by Academic achievements

Ms.Pratima Gupta | Atmospheric Sciences | Women Researcher Award

PDF IIT Delhi India

Pratima Gupta is an accomplished researcher specializing in Atmospheric and Environmental Science. With a Ph.D. in Chemistry from Dayalbagh Educational Institute, her work focuses on the characterization and deposition of atmospheric black carbon in the Indo-Gangetic Basin. She has a strong academic background and extensive research experience, contributing to significant advancements in air quality metrics and environmental monitoring.

profile

Google Scholar

Education 🎓

Pratima Gupta holds a Ph.D. in Chemistry (2021) from the Dayalbagh Educational Institute, where she conducted groundbreaking research on atmospheric black carbon. She also earned an M.Sc. (Tech) in Environmental Science and Technology (2014) from Banaras Hindu University. Her educational journey has been marked by a focus on understanding and mitigating the impacts of air pollution and environmental changes.

Experience 🛠️

Pratima has served in various significant roles, including Field In-charge for NASA’s MAIA mission and Principal Project Scientist for projects like SAMOSA and IGP-AQMmod at IIT Delhi. Her work involves extensive field monitoring, sensor-based air quality measurements, and the development of air quality management models for the Indo-Gangetic Plain.

Research Interests 🔬

Pratima’s research interests lie in Environmental and Atmospheric Science. She specializes in measuring and characterizing air quality metrics, including physical, optical, and chemical properties of aerosols. Her work focuses on dry and wet deposition measurements, black carbon, radiative forcing, health risk assessments, exposure modeling, machine learning, and low-cost sensors.

Awards & Achievements 🏆

  • Best Ph.D. Thesis Award at the International Conference on Advanced Materials for Next Generation Applications (AMNGA 2021)
  • SRF, CSIR (2019)
  • ISCA Young Scientist Award (2018)
  • International Travel Award for the Workshop and Science-Policy Dialogue on Air Pollution, Climate, and Health in South Asia and the Hindu Kush Himalaya (2017)
  • IGAC Travel Award (2017)

Publications 📚

  1. Measurements and characterization of black carbon in ambient air of city of Taj over Indo-Gangetic basin: seasonal variation and meteorological influence – Advances in Atmospheric Sciences, 2017. Read Here
  2. Measurement of PM10, PM2.5 and Black Carbon and assessment of their health effects in Agra, a semiarid region of India – Proceeding of Indian National Science Academy, 2019. Read Here
  3. A one-year study on assessment of fractionated aerosol at a semiarid region over Indo-Gangetic basin – Clean–Soil, Air, Water, 2019. Read Here
  4. Exposure to respirable and fine dust particle over north-central India: chemical characterization, source interpretation, and health risk analysis – Environmental Geochemistry and Health, 2019. Read Here
  5. An empirical study towards air pollution control and global sustainable development in India: a case study – SN Applied Sciences, 2020. Read Here