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March 2018
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Feng Ding, Eng., Ph.D

Feng Ding

Artificial intelligence and mathematical modelling expert

Feng Ding holds a doctorate in mechanical engineering from Université Laval, a master’s of applied science from Université de Liège, Belgium, and a bachelor’s degree in mechanical engineering from Shanghai University, China. Before joining CRIQ, he was chair of the research department at the Shanghai Institute of Optics. In addition to his duties at CRIQ, he is co-supervisor of research at the master's and doctoral levels at Université du Québec à Trois-Rivières.

His main research interests focus on statistical analysis and signal processing, modelling and simulation, the design of an integrated multi-sensor system for real-time measurements, and pulp and paper manufacturing optimization. Feng Ding holds several patents and has written many scientific articles. He also serves as the post-doctorate supervisor for the Natural Sciences and Engineering Research Council of Canada.

Publications and talks

Ding, F., Gagné P., Talbot, H. et Lejeune, C. (2016), “AQUA – a New-destructive Online System for Solid Material Property Measurement”, I2MTC 2016, May 23-26, Taipei, Taiwan, China

Ding, F. Ibrahim, F. and Cloutier, M. (2013), “Ring Debarker Model Predictive Control (MPC) Strategy and Results”, ICCAT 2013 IEEE, January 20-22 Sousse, Tunisia.

Shahriari, K., Ding, F. (2012), “A New Concept to Reject Perturbations in a TMP Process due to Raw Materials Properties’ Variation”, CCECE 2012 IEEE, April 29 – May 2, 2012 Montreal, Quebec, Canada.

Ding, F., Ibrahim F. and Gagné, P. (2012), “MPC based Ring Debarking Process Optimization”, CCECE 2012 IEEE, April 29 – May 2, 2012 Montreal, Quebec, Canada.

Ding, F., Lejeune, L., Poulin, A. et Laperrière, L. (2012), “Wood Chip Fiber Flow Rate Control and TMP Refining Energy Saving”, I2MTC 2012 IEEE, May 13-16, 2012 Graz, Austria Proceedings, PP.437-442.

Shahriari, K., Ding, F. (2011), “Process Variability and Inherent Efficiency Enhancement in Industrial Processes: two case studies in pulp and paper industry”, submitted to IEEE Multi-Conference on Systems and Control, September 2011, Denver, USA.

Shahriari, K., Ding, F. (2011), “Investigating Potential Energy Savings from Raw Materials Variability Attenuation: A Case Study in Pulp and Paper Industry”, 24th IEEE Canadian Conference on Electrical and Computer Engineering, May 2011, Niagara Falls, Canada.

Ding, F., Lejeune, C., Bouchard, J-L, Poulin, A., Dundar, E., Laperrière, L. (2010), ”Reduction of TMP Refining Energy by Stabilizing Wood Chip Basic Density”. PTS Paper Symposium, 07-10 2010 Munich Germany.

Shahriari, K., Ding, F., and St-Yves, J., Assessing Potential Specific Energy Reduction in a TMP Process: A gateway to Refining Energy Saving. 96th Annual Meeting, 2010, pp. 175-178.

Ding, F., Benaoudia, M., Bédard P., Lanouette, R. 2009, Effects of Some Wood Chip Properties on Pulp Quality, Pulp & Paper Canada, July/August, pp. 20-23.

Dundar, E., Laperrière, L., Ding, F., Decreasing Specific Energy of Thermomechanical Pulps from Reduction of Raw Materials Variability. Tappi Journal, Septembre 2009, pp. 23-29.

Ding, F. et al. (2008), Simulation of Effects of Chip Variability on Refining Energy Consumption for Different Mixture. EXFOR 2008, 2-6 February 2008 Ding, F., and Vézina, K. 2006. Improvement and Prediction of Kraft Pulp Yield using a Wood Chip Quality Online Measurement System (CMSE). Control System 2006, June 6-8, Tampere, Finland, in printing.

Ding, F., Dundar, E., Laperrière, L. 2007. Effects of Wood Chip Characteristics on Refining Energy Consumption, IMPC 2007, June 7-9, Minneapolis, Minnesota, 2007.

Ding, F., and Bédard, P. 2005. Online wood chip quality measurement - Chip density and wood species variation. IMPC, June 7-9, Oslo, Norway, pp.298-301.

Lanouette, R., Ding, F., and Bédard, P. 2005. Mill Applications of Online Measurement of Woodchips Characteristics to Predict Pulp and Paper Quality. IMPC, June 7-9, Oslo, Norway, pp.294-297.

Ding, F., Benaoudia, M., Bédard, P., Lanouette, R., Lejeune, C. and Gagné, P. 2005. Wood Chip Physical Quality Definition and Measurement. Pulp & Paper Canada, 2 (2005) 106, 27-32.

Ding, F., Benaoudia, M., Bédard P., and Lanouette, R. 2003. Effects of some Wood Chip Properties on Pulp Qualities, Abstracts with CD. 89th Annual Meeting PAPTAC. Montréal, pp.37.

Bédard, P., Ding, F., Benaoudia, M. 2003. Amélioration de la gestion de la cour à bois par la caractérisation en ligne des copeaux. Congrès francophone du papier, Château Frontenac, Québec, Canada, 14-16 mai, 2003, pp. 11-15.

Ding, F., Bédard, P., Benaoudia, M. 2002. Economizing the Bleaching Agent Consumption by Controlling Wood Chip Brightness. Control System 2002, Proceedings, June 3-5, Stockholm, Sweden, pp.205-209.

Tarasiewicz, S., Ding, F., Kudra, T., and Mrozek, Z. 2000. Fast and Slow Generation of a Multilevel Control for the Wood Drying Process. Drying Technology, 18(8), 1709-1735.

Tarasiewicz, S., Ding, F., and Léger, F. 1998. Modeling Simulation and Control of the Wood Drying Process, Part 2: Variable Control Structure. Drying Technology, 16(6), 1085-1100.

Ding, F., Tarasiewicz, S. and Pinchon, D. 1999. Optimisation and Predictive Control to Lumber Drying Process based on its Dynamical Behaviour. Proceedings of 3th International Industrial Automation Conference, École de technologie supérieure Montréal, June 7 – 9, (15.13 – 15.16).

Tarasiewicz, S., Ding, F., Léger, F. and Kudra, T. 1999. New Generation of a Multi-Level Control of Wood Drying Process based on Optimal and Predictive Control Structures. Proc. 6th Int. IUFRO Wood Drying Conference, 25-28 January, Stellenbosch, South Africa, pp. 129-137.

Tarasiewicz, S. and Ding, F. 1997. Predictive Control Study and its Application to Lumber Drying Process, Part 1: Internal Model Concept. 11th International Conference on Mathematical and Computer Modelling and Scientific Computing, Geogetown University Conference Center, Washington, DC, U.S.A., March 31 – April 3.

Tarasiewicz, S. and Ding, F. 1997. Predictive Control Study and its Application to Lumber Drying Process, Part 2: Predictive Control Structure. 11th International Conference on Mathematical and Computer Modelling and Scientific Computing, Georgetown University Conference Center, Washington, DC, U.S.A., March 31 – April 3.

Ding, F. and Tarasiewicz, S. 1998. Multi-level Distributed Control to Lumber Drying Process. 48th Canadian Chemical Engineering Conference. Westin Hotel, London, Ontario, Canada. October 4-7

Tarasiewicz, S. and Ding, F. 1998. Multi-level Control to Complex System. Advances in Systems, Signals, Control and Computers. Volume II. (437- 441).


Kyarash Shahriari, Feng DinG. « Méthode et système de stabilisation de procédé TMP », Brevet canadien No. CA 2,814,625A1 en instance.

Feng Ding, Claude Lejeune. « Méthode et système de stabilisation de densité sèche de copeaux », Brevet canadien No. CA 2,714,235C émis le 2014-01-07 et américain No. US 8,540,845B2, émis le 2013-09-24.

Feng Ding, Richard Gagnon et Claude Lejeune. « Méthode et appareil de granulométrie », Brevet canadien No. CA 2,711,677C émis le 2012-11-27 et américain US 8,655,048B2 émis le 2014-02-18.

Feng Ding et Ilish Lama. « Méthode d'optimisation du raffinage des copeaux de bois ». Brevet canadien No. CA 2,691,128C, émis le 2014-04-29 et américain US 8,679,293B2, émis le 2014-03-25.

Richard Gagnon, Jean-Pierre Couturier, Philippe Gagné, Feng Ding, Fadi Ibrahim. « Méthode et système de détection et de contrôle de qualité d'écorçage ». Brevet canadien No. CA 2,780,202A1, américain US20130333805A1 et mondial WO2013/188948, tous en instance.

Feng Ding, Philippe Gagné et Pierre Bédard. « Analyseur de papier recyclé ». Brevet canadien No. CA 2,416,966C, émis le 2007-12-11

Feng Ding. « Appareil d'estimation de l'humidité des copeaux; Méthode d'estimation de l'humidité des copeaux », Brevet canadien No. CA 2,430,737C, émis le 2014-12-20, américain No. US 7,292,949B2, émis le 2007-11-06 et US 7,778,786B2, émis le 2010-08-17.