Dr Gueguim Kana
Dr Kana holds a MSc in Biotechnology and PhD in Microbiology. He has vast experience in Bioprocess Modelling and Optimization, Biofuel research, Bioreactor design and implementation with several publications in the top 20 biofuel journals.

Dr Kana has more than 15 years experience in the teaching of Microbial Fermentation Biotechnology. He has delivered various talks on the application of Artificial Intelligence (AI) in Bioprocess Optimization at the International Centre of Theoretical Physics (ICTP), Italy, and the World Biotechnology Congress, Boston, USA.
 Position:   Senior Lecturer
Qualifications:   PhD (Microbiology)
MSc (Biotechnology) 
Discipline:   Microbiology
Campus:   Pietermaritzburg
Telephone:   033 260 5527
 Email:   kanag@ukzn.ac.za
 Research Areas:   Development of miniaturized bioreactors for parallel optimization of bioprocesses

Use of Artificial Intelligence to design more efficient bioprocess optimization tools

Optimization of bio-methane production on agricultural wastes

Optimization of fermentative bio-hydrogen production as future energy source, on organic wastes
 Recent Publications:   Preshanthan Moodley, E.B. Gueguim Kana (2015).Optimization of xylose and glucose production from sugarcane leaves (Saccharum officinarum) using hybrid pretreatment techniques and assessment for hydrogen generation at semi-pilot scale. International Journal of Hydrogen Energy, Volume 40, Issue 10, 16 March 2015, Pages 3859-3867

F.D. Faloye, E.B. Gueguim Kana, Stefan Schmidt (2014) Optimization of biohydrogen inoculum development via a hybrid pH and microwave treatment technique - Semi pilot scale production assessment International Journal of Hydrogen Energy, Volume 39, Issue 11, 4 April 2014, Pages 5607-5616

PT Sekoai, EB Gueguim Kana, (2014) Semi-pilot scale production of hydrogen from Organic Fraction of Solid Municipal Waste and electricity generation from process effluents. Biomass and Bioenergy Vol. 60 156-163 3.

J. K. Whiteman & E. B. Gueguim Kana (2013) Comparative Assessment of the Artificial Neural Network and Response Surface Modelling Efficiencies for Biohydrogen Production on Sugar Cane Molasses. Bioenerg. Res. DOI 10.1007/s12155-013-9375-7

E.B. Gueguim Kana, Stefan Schmidt, R.H. Azanfack Kenfack (2013) A web-enabled software for real-time biogas fermentation monitoring – Assessment of dark fermentations for correlations between medium conductivity and biohydrogen evolution . International Journal of Hydrogen Energy, Volume 38, Issue 25, 10235-10244
Postgraduate Candidates:     PG Candidates

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