Biography
Dr. Conrard Giresse Tetsassi Feugmo obtained a B.Sc. and M.Sc. in Chemistry from the University of Yaoundé I in Cameroon before pursuing his studies in Belgium. In Belgium, he earned an Advanced Master's degree in Nanotechnologies from the Louvain School of Engineering and a Ph.D. in Computational Chemistry from the University of Namur. Following the completion of his Ph.D., Dr. Feugmo worked as a postdoctoral associate at the University of Western Ontario. He then joined the NRC's new Advanced Materials Research Facility in Mississauga (NRC-M) as a Research Officer, where he applies his expertise in material science, nanotechnologies, and machine learning to develop a materials acceleration platform for materials in sustainability-related domains.
Dr. Feugmo research interests are diverse, encompassing various areas such as accelerating the design of high entropy alloys and mixed metal oxides using computational approaches like Density Functional Theory (DFT), Molecular Dynamics (MD), and Phase Field Crystal (PFC), along with machine learning. His research is focused on developing these materials for application in electrochemical energy storage and conversion technologies, including capacitors/batteries and fuel cells, as well as in gas sensors, aerospace, and automotive industries. He is particularly interested in developing constrained multi-objective optimization algorithms and a model for ionic conduction in non-crystalline materials to enhance the efficiency of these materials in energy storage and conversion applications.
Curriculum Vitae
General Information
Full name: Conrard Giresse Tetsassi Feugmo
Languages: English, French, Yemba
Education
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2018 Ph.D., University of Namur, Namur, Belgium
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2011 Advanced Master in Nanotechnologies, Louvain School of Engineering, Louvain la Neuve, Belgium
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2010 M.Sc. Chemistry, University of Yaoundé I, Yaoundé, Cameroon
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2007 B.Sc. Chemistry, University of Yaoundé I, Yaoundé, Cameroon
Experience
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2022 - NOW Assistant Professor of Chemistry, University Of Waterloo, Waterloo, ON, Canada
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2020 - 2022 Research Officer, National Research Council of Canada, Mississauga, ON, Canada
- Machine Learning-driven Material Discovery
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2018 - 2020 Post-Doctoral Associate, Universtity of Western Ontario, London, ON, Canada.
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2012 - 2020 Teaching Assistant, University of Namur, Namur, Belgium
Open Source Projects
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2021-NOW Machine Learning Tutorials
- Collection of Tutorials in Machine Learning for Beginer
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2022-NOW simexec
- Atumated Simulation Executor using AiiDA to manage Multiple Calculations on HPC
Honors and Awards
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2011 Special Research Fund (FSR) Scholarship
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2012 Institutional Ph.D. CERUNA grants
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2018 Western’s Postdoctoral Fellowships Program
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2022 Talent Bursaries Alberta AI-week
Research Interests
Accelerating Materials Discovery with AI
- High entropy alloys
- Mixed metal oxides
Computational design of Innovative Materials
- Gas sensors for breath diagnosis
- Storing Hydrogen in Metal Hydrides
- Solid-state batteries
- Li/Na-ion batteries
- Heterogenous catalysis
Geometric Machine Learning
- Graph Neural Network
- Generative Model
- Simulate Time-integrated Molecular Dynamics
Data solutions for sciences
- Facilitate and standardize new innovative data solutions for science
- Building agile and flexible digital infrastructure to allow autonomy and scalability
Other Interests
Hobbies: Soccer, Volley Ball, Music.