Felix Ajibola | Environmental Science | Best Researcher Award

Dr. Felix Ajibola | Environmental Science | Best Researcher Award

Nigerian Meteorological Agency | Nigeria

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Early Academic Pursuits 🎓

Dr. Felix Ajibola began his academic journey with a strong foundation in science and technology. He earned a National Diploma in Computer Studies from Federal Polytechnic, Offa, Kwara State, Nigeria (2003-2004), where he completed a project on basic language codes for a Ludo game. He then pursued a B.Tech. in Pure and Applied Physics from Ladoke Akintola University of Technology, Ogbomoso, Nigeria (2005-2009), with a thesis on the design of a time-lock switch. His passion for meteorology led him to obtain an M.Tech. in Meteorology from Federal University of Technology, Akure, Nigeria (2012-2015), where he developed thresholds for thunderstorm indices over Kano, Nigeria. Dr. Ajibola culminated his academic pursuits with a Ph.D. in Meteorology (Atmospheric Science) from Nanjing University of Information Science and Technology, China (2019-2022), focusing his dissertation on evaluating and projecting extreme precipitation and drought using CMIP6 HighResMIP simulations over West Africa.

Professional Endeavors 🏢

Dr. Ajibola has gained extensive experience in both academic and industrial settings. He served as a mentor and coach in the Prof. Zhou Botao Laboratory at Nanjing University of Information Science and Technology, improving students' research skills and understanding of complex concepts from December 2019 to April 2022. Concurrently, he conducted significant research on synoptic and mesoscale evolution during extreme events, numerical simulation of the atmosphere, and climate change theory in the Meteorology Department. In the industrial realm, Dr. Ajibola has been a Meteorologist at the Central Forecast Office, Nigerian Meteorological Agency in Abuja, Nigeria, since May 2012. His role involves comprehensive weather forecasting and analysis, validation of forecasts, and providing tailored weather information for various sectors, including land, military, and marine.

Contributions and Research Focus 🔬

Dr. Ajibola's research primarily focuses on the variability of global climate and the mechanisms driving changes over time. His expertise includes data visualization, big data analysis, spatiotemporal analysis, climate models, and statistical techniques. He has made significant contributions through his publications, such as evaluating the performance of CMIP6 HighResMIP on West African precipitation and analyzing the impacts of improved horizontal resolutions on mean and extreme precipitation simulations over West Africa.

Accolades and Recognition 🏅

Dr. Ajibola's achievements have been recognized through various awards and fellowships. He was a World Meteorological Organization (WMO) Fellow from September 2019 to August 2022. His research received funding from prestigious sources, including the National Natural Science Foundation of China and the National Key Research and Development Program of China, under the mentorship of Prof. Zhou Botao.

Impact and Influence 🌍

Dr. Ajibola's work has had a substantial impact on the field of meteorology, particularly in understanding and predicting extreme weather events. His role at the Nigerian Meteorological Agency involves critical tasks such as tracking mesoscale convective systems and dust trajectories, which are vital for accurate weather forecasting and disaster preparedness.

Legacy and Future Contributions Highlight 🚀

Dr. Ajibola's legacy lies in his dedication to advancing meteorological science and his commitment to addressing critical climate-related issues. His ongoing research and publications continue to contribute to the global understanding of climate dynamics. As a team leader at the Central Forecast Office and an active member of professional societies like the American Meteorological Society and the International Society for Data Science and Analytics, Dr. Ajibola is well-positioned to influence future generations of meteorologists and contribute to the development of strategies for climate change mitigation and adaptation.

 

Publications 📚


 📄Impacts of Improved Horizontal Resolutions in the Simulations of Mean and Extreme Precipitation Using CMIP6 HighResMIP Models over West Africa

  • Author: Ajibola, F.O., Afolayan, S.A.
  • Journal: Environmental Monitoring and Assessment
  • Year: 2024

 📄Performance of CMIP6 HighResMIP Simulations on West African Drought

  • Author: Ajibola, F.O., Zhou, B., Shahid, S., Ali, M.A.
  • Journal: Frontiers in Earth Science
  • Year: 2022

 📄Evaluation of the Performance of CMIP6 HighResMIP on West African Precipitation

  • Author: Ajibola, F.O., Zhou, B., Gnitou, G.T., Onyejuruwa, A.
  • Journal: Atmosphere
  • Year: 2020

 

Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Dr. Bipin Kumar | Earth and Planetary Sciences | Best Researcher Award

Indian Institute of Tropical Meteorology | India

Author Profile

Scopus

Early Academic Pursuits

Dr. Bipin Kumar's academic journey began with a Bachelor of Science in Physical Sciences from the University of Allahabad in 1995, followed by a Master of Science in Mathematics from IIT Kanpur in 1998. He then pursued an MS in Research (Mathematics) at the National University of Singapore in 2006, focusing on computational methods for phase-field models. His quest for deeper expertise led him to earn a Ph.D. in Computing from Dublin City University in 2009, with a thesis on high-performance computing for multiphase fluid flows.

Professional Endeavors

Dr. Kumar’s career spans over two decades, encompassing roles in academia, research institutions, and industry. His notable positions include:

  • Scientist and Research Guide at IITM, Pune, India.
  • Associate Professor at Savitribai Phule Pune University.
  • Visiting Scientist at NCAR, Boulder, USA, and Visiting Faculty at McGill University, Canada.
  • Associate Faculty at the International Center for Theoretical Sciences, Bengaluru, India.
  • Scientist at Max-Planck-Institute for Meteorology, Germany.

He has held various teaching and research positions, contributing to advancements in high-performance computing, data science, and atmospheric physics.

Contributions and Research Focus

Dr. Kumar's research is centered around:

  • Data Science and AI/ML: Developing parallel Python routines and deep learning algorithms for weather forecasting, data downscaling, fire forecasting, and more.
  • Atmospheric Physics: Studying cloud droplet and aerosol dynamics using DNS.
  • High-Performance Computing (HPC): Enhancing parallel code for CFD problems, 3D visualization, and parallel I/O optimization.
  • Numerical Linear Algebra: Creating parallel algorithms for solving large linear systems of equations.

Accolades and Recognition

Dr. Kumar has received several prestigious awards:

  • DCU Teaching Excellence Nominee Award (2008)
  • Microsoft Postgraduate Research Scholarship (Ireland, 2007-08)
  • DCU Dean’s Connect Scholarship (Ireland, 2006-09)
  • NUS Research Scholarship (Singapore, 2004-06)
  • CSIR Senior Research Fellowship (India, 2004)

Impact and Influence

Dr. Kumar’s work has significantly influenced fields such as HPC, data science, and atmospheric physics. His contributions to developing computational methods for complex fluid flows and forecasting systems have advanced our understanding of cloud dynamics and weather patterns. His research has impacted both theoretical and practical aspects of meteorology and data analysis.

Legacy and Future Contributions

Dr. Kumar aims to broaden his impact through continued research and teaching. By leveraging his expertise in HPC, data science, and cloud microphysics, he aspires to address critical challenges in earth science and contribute to the development of innovative solutions for climate and environmental issues.

 

   Publications

  • Deep learning-based bias correction of ISMR simulated by GCM
    Authors: Sumanta Chandra Mishra Sharma, Bipin Kumar, Adway Mitra, Subodh Kumar Saha
    Journal: Atmospheric Research
    Year: 2024

 

  • Harnessing deep learning for forecasting fire-burning locations and unveiling PM2.5 emissions
    Authors: Gaikwad, S., Kumar, B., Yadav, P.P., Rao, S.A., Ghude, S.D.
    Journal: Modeling Earth Systems and Environment
    Year: 2024

 

  • Machine learning based quantification of VOC contribution in surface ozone prediction
    Authors: Kalbande, R., Kumar, B., Maji, S., Rathore, D.S., Beig, G.
    Journal: Chemosphere
    Year: 2023

 

  • On the modern deep learning approaches for precipitation downscaling
    Authors: Kumar, B., Atey, K., Singh, B.B., Nanjundiah, R.S., Rao, S.A.
    Journal: Earth Science Informatics
    Year: 2023

 

  • A modified deep learning weather prediction using cubed sphere for global precipitation
    Authors: Singh, M., Acharya, N., Patel, P., Nanjundiah, R.S., Niyogi, D.
    Journal: Frontiers in Climate
    Year: 2023