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Ergys Pahija

Professeur, Faculté de génie
FAC. GÉNIE Chimique et biotechnologique

Présentation

Sujet de recherche

Biomass (Energy), Bioprocesses and Biomedical systems, Production and Process Optimization

Disciplines de recherche

Biomedical Engineering and Biochemical Engineering, Chemical Engineering

Mots-clés

Design of chemical and biological processes, Mathematical and statistical modelling, Process control, Catalytic reactors kinetics

Intérêts de recherche

My research interest includes modelling of chemical and biochemical processes. I make use of mathematical and statistical models to simulate and predict the system behavior. My work combines principles of chemical engineering, mathematics and programming applied to solve problems in the chemical, biochemical and pharma industries. Field of applications include sustainable productions and study of micro-organisms dynamics.

Recherche clinique

Langues parlées et écrites

Albanian, Anglais, Français, Italien

Diplômes

(2018). Modelling of microalgae growth to enhance biofuel production using the population balance equation (Doctorate, Doctor of Philosophy). Hong Kong University of Science and Technology.

(2012). Batch process control and optimisation (Master's Thesis, Master of Science). Politecnico di Milano.

(2011). Batch processes solved with Aspen Batch® (Bachelor's, Bachelor of Science). Politecnico di Milano.

Expérience académique

Assistant professor. (2023-). Université de Sherbrooke. Canada.

Postdoctoral fellow. (2020-2023). École Polytechnique de Montréal. Canada.

Visiting researcher. (2022-2023).

Postdoctoral researcher. (2018-2020). Technical University of Denmark. Denmark.

Prix et distinctions

  • (2018) Hong Kong PhD Fellowship (HKPFS). Hong Kong Research Grants Council. (Prize / Award).
  • MSCA Individual Fellowship Seal of Excellence (top 15%). European Commission. (Prize / Award).

Financement

  • Grant. (Awarded). Principal Investigator. Fonds de démarrage (Start-up fund). University of Sherbrooke. 70 000 $. (2023-2024)
  • Scholarship. (Completed). Principal Applicant. Sequential Monte Carlo for robust monitoring of lactic acid bacteria. Otto Mønsteds. Otto Mønsteds Fond. 10 000 $. (2019)
  • Fellowship. (Completed). Principal Applicant. Modelling and Optimization of Microalgae Production - HKPFS (top 3% of all applicants). Research Grants Council (RGC) (Hong Kong). Hong Kong PhD Fellowship. 175 000 $. (2014-2018)
  • Scholarship. (Completed). Principal Applicant. Modelling, Control and Optimization of Batch and Semi-Batch Reactors - University of Bradford (UK). Commission of European Community (Italy). Erasmus program. 1 380 $. (2012-2012)

Publications

Articles de revue

  • Brian Rutherford, Christopher Panaritis, Ergys Pahija, Martin Couillard, Bussaraporn Patarachao, Jalil Shadbahr, Farid Bensebaa, Gregory S Patience, Daria C Boffito. (2023). Ni nanoparticles on Co3O4 catalyze the reverse water–gas shift with 95% CO selectivity at 300° C. Fuel 348 128523. DOI. (Published).
  • Ergys Pahija, Christopher Panaritis, Sergey Gusarov, Jalil Shadbahr, Farid Bensebaa, Gregory Patience, Daria Camilla Boffito. (2022). Experimental and computational synergistic design of Cu and Fe catalysts for the reverse water–gas shift: a review. ACS Catalysis 12 6887-6905. DOI. (Published).
  • Ergys Pahija, Christopher Panaritis, Brian Rutherford, Martin Couillard, Bussaraporn Patarachao, Jalil Shadbahr, Farid Bensebaa, Gregory S Patience, Daria C Boffito. (2022). FeOx nanoparticle doping on Cu/Al2O3 catalysts for the reverse water gas shift. Journal of CO2 Utilization 64 102155. DOI. (Published).
  • Pahija, E., Lee, P. Y., Sin, G., and Hui, C. W. (2022). Modelling of harvesting techniques for the evaluation of the density of microalgae. Applied Biochemistry and Biotechnology 194 5992-6006. (Published).
  • Ergys Pahija, Shahab Golshan, Bruno Blais, Daria Camilla Boffito. (2022). Perspectives on the process intensification of CO2 capture and utilization. Chemical Engineering and Processing-Process Intensification 176 108958. DOI. (Published).
  • Pahija, E., and Hui, C. W. (2021). A practical approach for modelling the growth of microalgae with population balance equation. New Biotechnology 62 40-48. DOI. (Published).
  • Ma, Z., Legrand, U., Pahija, E., Tavares, J. R., Boffito, D. C. (2020). From CO2 to formic acid fuel cells. Industrial and Engineering Chemistry Research 60 803-815. DOI. (Published).
  • Pahija, E., Lee, P. Y., Hui, C. W. (2019). A revision of population balance equation with population birth, growth and death. Process Integration and Optimization for Sustainability 3 125-141. (Published).
  • Pahija, E. and Hui, C. W. (2019). A systematic study on the effects of dynamic environments on microalgae concentration. Algal research 42 101599. DOI. (Published).
  • Pahija, E., Liang, Y., Hui, C. W. (2017). Determination of microalgae growth in different temperature condition using a population balance equation. Chemical Engineering Transaction 61 721-726. DOI. (Published).
  • Yeoh, K. P., Cheung, T. C. K., Pahija, E., & Hui, C. W. (2015). Effects of pretreatment on microalgae drying. Chemical Engineering Transaction 45 565-570. DOI. (Published).
  • Wang, M., Pahija, E., Liu, G., Hui, C. W. (2015). Simultaneous integration and optimization of an IGCC plant. Chemical Engineering Transaction 45 1891-1896. DOI. (Published).
  • Pahija, E., Manenti, F., Mujtaba, I.M., Rossi, F. (2014). Assessment of control techniques for the dynamic optimization of (semi-)batch reactors. Computers & Chemical Engineering 269-275. DOI. (Published).

Rapports

  • Pahija, E. (2023). Half project report on the CO2 electroreduction to potassium formate: electrochemical cell modelling and thermodynamics of ionic solutions. Electro Carbon. 15 p.
  • Pahija, E. (2021). Techno-economic study of a CO2 to jet-fuel plant: design and economic effects of a hydrocracking unit with Aspen Hysys. SAF+. 12 p.
  • Pahija, E., Zhang, Y., Hui, C. W. (2017). Techno-economic evaluation of a microalgae process design. AirProducts. 20 p.

Articles de conférence

  • Gomez, JDS; Pahija, E; Rosha, P; Ibrahim, H. (2022). Acetic acid production from biogas. Canadian Chemical Engineering Conference. (Published).
  • Guérette, CD; Panaritis, C; Pahija, E; Couillard, M; Shadbahr, J; Bensebaa, F; Patience, G; Boffito, DC. (2022). Fischer-Tropsch synthesis over Co-Cu/Al2O3 catalyst: identifying jet fuel selectivity with experiment and model. Canadian Chemical Engineering Conference. (Published).
  • Pahija, E; Guo, J; Legrand, U; Boffito, DC. (2022). Modelling the CO2 electroreduction to potassium formate. Canadian Chemical Engineering Conference. (Published).
  • Rutherford, B; Panaritis, C; Pahija, E; Couillard, M; Shadbahr, J; Bensebaa, F; Patience, G; Boffito, DC. (2022). Ni-supported Catalysts for the RWGS Reaction. Canadian Chemical Engineering Conference. (Published).
  • Pahija, E; Patience, G; Boffito, DC. (2021). Experimental methods in chemical engineering: Monte Carlo. Canadian Chemical Engineering Conference. (Published).
  • Pahija, E; Boffito, DC; Patience, G; Hui, CW. (2020). A theoretical study on the effect of selective size extraction from a photobioreactor. Canadian Chemical Engineering Conference. (Published).
  • Pahija, E; Hui, CW; Woodley, JM; & Sin, G. (2020). Effect of Selective Size Extraction of Microalgae from a Photobioreactor. European Symposium of Computer Aided Process Engineering. (Published).
  • Pahija, E; Spann, R; Sin, G. (2020). Robust monitoring of lactic acid bacteria with Sequential Monte Carlo. Computer Aided Chemical Engineering, (Published).
  • Pahija, E; Spann, R; Sin, G. (2019). Application of Sequential Monte Carlo methods for robust monitoring of lactic acid bacteria fementation. 2019 AIChE Annual Meeting Proceedings, (Published).
  • Pahija, E., Liang, Y., Hui, C. W. (2016). Population balance applied to microalgae growth. Computer Aided Chemical Engineering, (Published).
  • Pahija, E; Zhang, Y; Wang, M; Zhu, Y; Hui, CW. (2015). Microalgae growth determination using breakage equation model. Computer Aided Chemical Engineering, 389-394. (Published).
  • Zhu, Y., Oyedun, A. O., Wang, M., Pahija, E. and Hui, C. W. (2015). Modelling and optimization of a heat integrated gasification process. Computer Aided Chemical Engineering, 401-406. (Published).
  • Pahija, E., Manenti, F., Mujtaba. (2013). Optimization of batch and semi-batch reactors. Computer Aided Chemical Engineering, 739-744. (Published).
  • Pahija, E., Manenti, F., Mujtaba, I.M. (2013). Selecting the best control methodology to improve the efficiency of discontinuous reactors. Computer Aided Chemical Engineering, 805-810. (Published).

Autres contributions

Présentations

  • (2023). Digitalizing biological systems: environmental or economic opportunity?. Seminar presentation at the Department of Civil and Environmental Engineering at Western University. London, ON, Canada
  • (2021). Experimental methods in chemical engineering: Monte Carlo. Canadian Chemical Engineering Conference. Canada
  • (2020). A theoretical study on the effect of selective size extraction from a photobioreactor. Canadian Chemical Engineering Conference. Canada
  • (2020). Effect of selective size extraction of microalgae from a photobioreactor. European Symposium of Computer Aided Process Engineering. Italy
  • (2020). Robust monitoring of lactic acid bacteria with Sequential Monte Carlo. European Symposium of Computer Aided Process Engineering. Italy
  • (2019). Application of Sequential Monte Carlo methods for robust monitoring of lactic acid bacteria fermentation. AIChE 2019. United States of America
  • (2017). Determination of microalgae growth in different temperature condition using a population balance equation. Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction. China
  • (2016). Population Balance Applied to Microalgae Growth. ESCAPE 2016. Slovenia
  • (2015). Effects of pretreatment on microalgae drying. PRES 2015. Malaysia
  • (2015). Microalgae growth determination using breakage equation model. ESCAPE 2015. Denmark
  • (2013). Optimization of batch and semi-batch reactors. ESCAPE 2013. Finland
  • (2013). Selecting the best control methodology to improve the efficiency of discontinuous reactors. ESCAPE 2013. Finland