IPROCOM: The development of in silico process models for roll compaction
The project consortium brings together experts from engineering, pharmaceutical science, materials science and computer science disciplines from 10 full partners and four associate partners specialising in pharmaceutical development, machine manufacturing, multimedia and science communications.
Structured research training in IPROCOM consists of three complementary work packages:
- Process understanding through systematic experimental investigation
- Multiscale modeling with discrete element methods (DEM) and finite element methods (FEM)
- Intelligent modeling with artificial neural networks, evolutionary computation and other heuristic techniques.
Aims and objectives
The goal of IPROCOM is to address scientific and technology challenges in the manufacturing of particulate products (pharmaceuticals, catalyst pellets, detergent tablets, fertilizer, biomass and metal components) through a coordinated and structured research training programme.
In particular, it aims to develop robust in silico process models that can be used to predict the properties of intermediate (ribbons/granules) and final products (tablets/pellets/components) based on the properties of individual particles and to provide structured training for the next generation of researchers who will comprehend such models, associated knowledge and techniques and apply them to a number of particulate products manufacturing industries.
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement No. 316555.
Professor Ajith Abraham
Supervisor: Machine Intelligence Research (MIR) Labs, Czech
Dr Crina Grosan
EU Research Charter Champion: Department of Computer Science, Babes-Bolyai University, Romania
Professor Peter Kleinebudde
Director of Research and WP1 Lead: Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine-University, Germany
Dr Torsten Kraft
Training committee WP2 Lead: Fraunhofer Institute, Germany
Dr Olivier Lecoq
Supervisor: Mines Albi, France
Dr Michele Marigo
Director of Training: Research and Development, Johnson Matthey, UK
Dr Aleksander Mendyk
WP3 Lead: Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University, Poland
Dr Abder Michrafy
Training committee WP1 Lead: Powders and Processes Group, Mines Albi, France
Dr Charles Radeke
Outreach Champion: RCPE, Austria
Dr Gavin Reynolds
Research and Development: AstraZeneca, UK
Professor Vaclav Snasel
Supervisor: Faculty of Electrical Engineering and Computer Science, Vysoka Skola Banska, Czech
Professor Hugh Stitt
Director of Training: Catalyst Manufacture and Reaction Engineering Research, Johnson Matthey, UK
International Advisory Board
Professor Wei Ge
Professor in Chemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, China
Professor Karen Hapgood
Head of Chemical Engineering, Monash University, Australia
Professor Antonios Zavaliangos
A. W. Grosvenor Professor, Materials Science and Engineering, Drexel University, USA
The objectives are to experimentally characterise particle and powder properties using a wide range of techniques, to identify critical particle characteristics that dominate bulk powder properties, and to investigate powder mixing and quantify the mixing dynamics and microstructures of mixtures.
ESR1, Serena Schiano, will be based at the University of Surrey, UK.
The aim of this project is to explore how material properties, roll compactor type and process parameters affect the roll compaction process, for which ribbon properties produced using various types of roll compactors available in IPROCOM and microscopic flow patterns of particles during roll compaction with different system designs will be characterised.
ERS2, Kitti Csordas, will be hosted at Heinrich-Heine-University, Germany.
The objectives are to perform a systematic study of roll compaction using roll compactors of different scales and to identify the design space for roll compaction.
ERS3, Ana Pérez Gago, will be hosted at Heinrich-Heine-University, Germany.
The objective is to explore how ribbon properties and milling conditions affect the granule properties. Microscopic study on fundamental milling mechanisms will be performed. ESR4 will also perform compaction experiments using both feed powders and produced granules.
ESR4, Lucía Pérez Gandarillas, will be based at Ecole des Mines d'Albi, France.
The objectives are to analyse powder filling processes using DEM, and to assess flow rate and uniformity, and how particle properties and process conditions will affect the properties of the powder bed in roll compaction. DEM models will be further developed to explore the effects of particle shape, cohesion, agglomeration and electrostatic interactions.
ESR5, Luca Orefice, will be hosted at Research Centre Pharmaceutical Engineering GmbH, Graz, Austria.
The objective is to develop predictive models using FEM , which can be used to identify the critical material properties and process parameters controlling the quality of granules. The effects of powder properties and roll compactor types will be investigated.
ESR6, Alon Mazor, will be based at Ecole des Mines d'Albi, France.
This project aims to explore the fundamental microscopic mechanisms of ribbon milling using DEM. How ribbon properties and milling conditions affect the microscopic behaviour of milling will be explored.
ESR7, Simone Loreti, will be based at the University of Surrey, UK.
The goal of this project is to predict final compact properties using a combination of DEM and FEM. A systematic investigation will be performed to examine how granule properties and process parameters affect the die filling behaviour and the subsequent powder compaction and ejection.
ESR8, Raphael Schubert, will be hosted at Fraunhofer Institute for Mechanics of Materials IWM, Germany.
The objectives of this project are to develop a robust computational intelligence (CI) platform together with ESRs 10-12 and to identify critical particle properties (CPPs) and critical process variables (CPVs) that dominate bulk powder characteristics.
ESR9, Varun Kumar Ojha, will be based at Vysoka Skola Banska - Technicka Univerzita Ostrava, Czech Republic and MIR Labs.
The objectives of this project are to develop a robust CI platform together with ESRs 9, 11, 12, to model roll compaction processes and to identify critical powder properties and CPVs controlling ribbon characteristics.
ESR10, Hossam Zawbaa, will be hosted at Babes-Bolyai University, Romania.
The objectives are to develop a robust CI platform together with ESRs 9, 10, 12, to model the ribbon milling process, to predict granule properties based on ribbon parameters and milling conditions, and to identify vital information on critical materials and process variables.
ESR11, Pezhman Kazemi, will be based at Jagiellonian University, Poland.
This project aims to develop a robust CI platform together with ESRs 9-11 and to model the powder compaction process, from which critical granules and granulation parameters together with process variables will be identified.
ESR12, Hassan Khalid, will also be based at Jagiellonian University, Poland.
The objective of ER1 is to characterise bulk powder properties based on the properties of single particles using DEM and to work closely with other ESRs/ERs to devise a multi-scale numerical platform for particulate product manufacturing.
ER1, Dr Zilin Yan, will be based at Johnson Matthey plc., UK.
The objectives of this project are to assess how uniformly particles of different properties can be mixed and to simulate the mixing behaviour of various powders and to investigate the mixing and segregation phenomena using DEM. The effect of packing structure of mixtures on the bulk powder behaviour will also be examined.
ER2, Dr Sebastian Gonzalez, will be hosted at Research Centre Pharmaceutical Engineering GmbH, Graz, Austria.
The objectives are to develop a population balance model for analysing ribbon milling processes, and to investigate how the ribbon properties, mill type and milling conditions affect the granule size.
ER3, Dr Andreja Mirtič, will be hosted at AstraZeneca plc., Sweden.
IPROCOM fellow won best paper award at Frontiers of Information Technology (FIT 2015)
27 January 2016
IPROCOM fifth Advanced Training Course successfully held in Babes Bolyai University, Romania
23 October 2015
|T Breinlinger, A Hashibon, R Schubert and T. Kraft||Simulation of die filling for powders with complex rheology||Proc. Partec 2016, Nuremberg, Germany, paper 1.36 (2016) 1-4.|
|C Bierwisch, R Schubert, T Kraft and C Dehning||Discrete and finite element co-simulations - Modelling approach and application perspectives||Proc. Partec 2016, Nuremberg, Germany, paper 1.24, 2016, 1-4.|
|A Hashibon, T Breinlinger, R Schubert and T Kraft||A new DEM contact-model for simulating die filling for powders with complex rheology||Proc. World PM2016 Congress, Session 16: Compaction Simulation, European Powder Metallurgy Association, Shrewsbury, UK, ISBN 978-1-899072-47-7, 2016, 1-6.|
|V K Ojha, A Abraham and V Snasel||Metaheuristic Tuning of Type-II Fuzzy Inference Systems for Data Mining||IEEE World Congress on Computational Intelligence, International Conference on Fuzzy Systems (FUZZ-IEEE 2016), pp 610-617|
|L Zjavka, V Snasel, W Pedrycz and V K Ojha||A Substitution of the General Partial Differential Equation with Extended Polynomial Networks||IEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks (IJCNN 2016), pp 4819-4826|
|V K Ojha, A Abraham and V Snasel||Ensemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (lactic-co-glycolic acid) micro- and nanoparticle|
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, 427, 2016, pp. 155-165.
|S Abdelwahab, V K Ojha and A Abraham||Ensemble of flexible neural trees for predicting risk in grid computing environment|
Proceedings of the 6th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2015), 427, 2016, pp. 155-165.
|S Abdelwahab, V K Ojha and A Abraham||Neuro-fuzzy risk prediction model for computational grids|
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015, 427, 2016, pp. 127-136.
|N Ahmed, V K Ojha and A Abraham||An ensemble of neuro-fuzzy model for assessing risk in cloud computing environment|
Proceedings of the 7th World Congress on Nature and Biologically Inspired Computing (NaBIC2015), 419, 2016, pp. 27-36.
|M H Khalid, P Kazemi, J Szlek, R Jachowicz and A Mendyk||Assessing critical features for modeling powder flow: an empirical approach||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|L Orefice and A Mazor||A combined DEM & FEM modelling of powder flow and compaction during roll|
|PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|V K Ojha and S Schiano||Machine learning tools for modelling of powder mixing||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|K Csordas and A Pérez Gago||Roll Compaction: The impact of system design and Scale up||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|S Loreti and A Mirtic||Multiscale modelling of ribbon Milling: a DEM-PBM framework||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|H Zawbaa, L Pérez-Gandarillas and S Schiano||Feature selection techniques for Roll Compaction||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|L Pérez-Gandarillas and S Schiano||The impact of roll compaction process on die filling and die compaction||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|R Schubert and Z Yan||DEM modelling of powder flow & powder-filling during die compaction||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|M H Khalid and P Kazemi||CI for solid dosage forms: modeling milling and die compaction processes||PARTEC 2016, Nuremberg, Germany, April 19-21, 2016|
|P Kazemi, A Mirtic, G K Reynolds, M H Khalid, R Jachowicz and A Mendyk||Transparent computational intelligence models for milling||World meeting on Pharmaceutics, biopharmaceutics, and Pharmaceutical technology, Glasgow, UK, April 2016|
|A Tharwat, H M Zawbaa, T Gaber, A E Hassanien and V Snasel||Automated Zebrafish-based Toxicity Test using Bat Optimization and AdaBoost Classifier||IEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.|
|A I Hafez, A E Hassanien and H M Zawbaa||Hybrid Swarm Intelligence Algorithms for Feature Selection: Monkey and Krill Herd Algorithms||IEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.|
|H M Zawbaa, A E Hassanien, E Emary, W Yamany and B PARV||Hybrid flower pollination algorithm with rough sets for feature selection||IEEE 11th International Computer Engineering Conference (ICENCO), Cairo, Egypt, December, 2015.|
|K K A Ghany, H Ayeldeen, H M Zawbaa and O Shaker||A Rough Set-based Reasoner for medical diagnosis||IEEE International Conference on Green Computing and Internet of Things, India, September, 2015.|
|M H Khalid, P K Tuszynski, J Szlek, R Jachowicz and A Mendyk||From black-box to transparent computational intelligence models: A pharmaceutical case study||13th International Conference on Frontiers of Information Technology (FIT 2015), Islamabad, Pakistan, December 14-16, 2015.|
|M M Fouad, H M Zawbaa, T Gaber, V Snasel and A E Hassanien||A Fish Detection Approach Based on BAT Algorithm||1st International Conference on Advanced Intelligent Systems and Informatics (AISI’15), Egypt, November 28-30, 2015.|
|E Emary, H M Zawbaa and B Parv||Feature Selection Based on Antlion Optimization Algorithm||3rd world conference on complex systems (WCCS15), Morocco, November 23-25, 2015.|
|H M Zawbaa, E Emary, A E Hassanien and B Parv||A wrapper approach for feature selection based on swarm optimization algorithm inspired in the behavior of the social-spider||7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Japan, November 13-15, 2015.|
|A I Hafez, H M Zawbaa, E Emary and A E Hassanien||An innovative approach for feature selection based on Chicken swarm optimization||7th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2015), Japan, November 13-15, 2015.|
|H Ayeldeen, K K A Ghany, H M Zawbaa and O Shaker||A Rough Set-based Reasoner for medical diagnosis||International Conference on Green Computing and Internet of Things (ICGCIoT 2015), India, 8-10 October, 2015.|
|Z Yan, S K Wilkinson, S A. Turnbull, E H Stitt, and M Marigo||Parametric evaluation for powder flowability using a Freeman rheometer: a discrete element method study||Proceedings of the IV International Conference on Particle-Based Methods- PARTICLES 2015, Barcelona, 28-30 Sept, 2015.|
|L Perez-Gandarillas, A Perez-Gago, A Mazor,|
P Kleinebudde, A Michrafy and O Lecoq
|Impact of milling process conditions on the granule's properties: effect of milling speed and rotation||7th International Granulation Workshop, Sheffield, UK, 1-3 July 2015.|
|E Emary, H M Zawbaa, K Kamal, A Ghany, A E Hassanien and B. Parv||Firefly Optimization Algorithm for Feature Selection||7th Balkan Conference in Informatics (BCI 2015), ACM, Romania, 2-4 September, 2015.|
|W Yamany, H M Zawbaa, E Emary and A E Hassanien||Modified Flower Pollination Algorithm for Attribute Reduction in Classification||IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Turkey, 2-5 August, 2015.|
|V K Ojha, K Jackowski, V Snášel & A Abraham||Dimensionality reduction and prediction of the protein macromolecule dissolution profile||IBICA 2014, 5th International Conference on Innovations in Bio-Inspired Computing and Applications, Ostrava, Czech Republic, 23 - 25 June 2014.|
|P K Tuszynski, A Mendyk, S Polak, H Khalid & R Jachowicz||Generalized in vitro - in vivo (IVIVC) correlation model based on genetic programming||9th world meeting of Pharmaceutics, Biopharmaceutics, and Pharmaceutical technology, Lisbon, Portugal, 31 Mar - 3 April 2014.|
|V K Ojha, K Jackowski, A Abraham and V Snasel||Feature Selection and Ensemble of Regression models for Predicting the Protein Macromolecule Dissolution Profile||Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC), Page 121 126 978-1-4799-5937-2/14 2014 IEEE.|
|V K Ojha, A Abraham and V Snasel||ACO for Continuous Function Optimization: A Performance Analysis||14th International Conference on Intelligent Systems Design & Applications (ISDA), Japan, Page 145 - 150 978-1-4799-7938-7/14 2014 IEEE.|
|V K Ojha, A Abraham and V Snasel||Simultaneous Optimization of Neural Network Weights and Active Nodes using Metaheuristics||14th International Conference on Hybrid Intelligent Systems (HIS 2014) in Kuwait, 2014, Page 248- 243 978-1-4799-7633-1/14/ 2014 IEEE.|
|H M Zawbaa, M Abbass, M Hazman and A E Hassanien||Automatic Fruit Classification Using Random Forest Algorithm||14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, 14-16 December, 2014.|
|W Yamany, E Emary, H M Zawbaa and A E Hassanien||Rough sets cuckoo search attribute reduction algorithm||14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, 14-16 December, 2014.|
|E Emary, H M Zawbaa, C Grosan and A E Hassanien||Feature subset selection approach by Gray-wolf optimization||1st International Afro-European Conference For Industrial Advancement (AECIA), Addis Ababa, Ethiopia, 17-19 November, 2014.|
|H M Zawbaa, M Abbass, S H Basha, M Hazman and A E Hassenian||An Automatic Flower Classification Approach Using Machine Learning Algorithms||3rd international conference on Advanced in Computing, Communications, and Informatics (ICACCI 2014), Delhi, India, 24-27 September, 2014.|
|A Mohamed, M M M Fouad, E Elhariri, N El-Bendary, H M Zawbaa, M Tahoun and A E Hassanien||RoadMonitor: An Intelligent Road Surface Condition Monitoring System||IEEE Intelligent Systems (IS’14), Warsaw, Poland, 24-26 September, 2014.|
|A Pacławski, P Kazemi, J Szlęk, R L W Man, R Jachowicz and A Mendyk||Heuristic modeling of fine particle fraction and optimization of formulation for pulmonary drug delivery||Particulate Processes in the Pharmaceutical Industry IV, 14-18.09.2014, Potsdam, Germany.|
|A I Hafez, H M Zawbaa, A E Hassanien, A A Fahmy, and V Snasel||Networks community detection using artificial bee colony swarm optimization||The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), Ostrava, Czech Republic, 23-25 June, 2014.|
|E Emary, H M Zawbaa, A E Hassanien, G Schaefer and A T Azar||Retinal blood vessel segmentation using artificial bee colony optimization and pattern search||Proc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 06-11 July, 2014.|
|E Emary, H M Zawbaa, A E Hassanien, G Schaefer and A T Azar||Retinal vessel segmentation based on possibilistic fuzzy c-means clustering optimized with cuckoo search||Proc. IEEE International Joint Conference on Neural Networks (IJCNN), Beijing, China, 06-11 July, 2014.|
|E Emary, H M Zawbaa, A E Hassanien, M F. Tolba, and V Snasel||Retinal vessel segmentation based on flower pollination search algorithm||The 5th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), Ostrava, Czech Republic, 23-25 June, 2014.|
|H M Zawbaa, M Abbass, M Hazman and A E Hassenian||Automatic Fruit Image Recognition System Based on Shape and Color Features||2nd International Conference on Advanced Machine Learning Technologies and Applications (AMLTA), Communications in Computer and Information Science, Vol. 488, pp. 278-290, 2014.|
|L Orefice and J Khinast||DEM study of granular transport in partially filled horizontal screw conveyors||Powder Technology, Volume 305, January 2017, Pages 347-356.|
|S K Wilkinson, S A Turnbull, Z Yan, E H Stitt, and M Marigo.||A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) study||Computers & Chemical Engineering. 97, 2, 2017, 161–174.|
|K Mateusz, K Woyna-Orlewicz, M H Khalid and R Jachowicz||Optimization of furosemide liquisolid tablets preparation process leading to their mass and size reduction||Acta Poloniae Pharmaceutica – Drug Research, 2016, 73, 5, pp. 1325-1331.|
|P Kazemi, M H Khalid, A Pérez Gago, P Kleinebudde, R Jachowicz, J Szlęk and A Mendyk||Effect of roll compaction on granule size distribution of MCC-mannitol mixtures: computational intelligence modeling and parametric analysis||Drug Design, Development, and Therapy, 2016 (Accepted).|
|M H Khalid, P Kazemi, L Perez-Gandarillas, A Michrafy, J Szlek, R Jachowicz and A Mendyk||Computational Intelligence models to predict porosity of tablets using minimum features||Drug Design, Development, and Therapy, 2016 (Accepted).|
|A Mirtič and G K Reynolds||Determination of breakage rate and breakage mode of roller compacted pharmaceutical materials|
Powder Technology, 298, 2016, 99–105.
|L Perez-Gandarillas, A Perez-Gago, A Mazor, P Kleinebudde, O Lecoq, and A Michrafy||Effect of Roll-Compaction and Milling Conditions on Granules and Tablets Properties||European Journal of Pharmaceutics and Biopharmacbiobieutics, 2016, 106: 38-49.|
|A Krok, A Mirtic, G Reynolds, S Schiano, R Roberts and C Y Wu||An experimental investigation of temperature rise during compaction of pharmaceutical powders|
International Journal of Pharmaceutics, 2016, 513, 97-108.
|Q Su, S Schiano, C Y Wu and C D Rielly||Dynamic impact milling model with a particle-scale breakage kernel.|
Computer Aided Chemical Engineering, 2016, 38, 475-480.
|A Hashibon, R Schubert, T Breinlinger and T Kraft||Simulations of history-dependent complex powder flow in die filling process|
Computational Particle Mechanics, 3, 2016, 437-448.
|Z Yan, S K Wilkinson, E H Stitt and M Marigo||Investigating mixing and segregation using discrete element modelling (DEM) in the Freeman FT4 rheometer||International Journal of Pharmaceutics, 513, no. 1, 2016, 38-48|
|V K Ojha, Abraham, A., and Snášel, V||Ensemble of Heterogeneous Flexible Neural Trees Using Multiobjective Genetic Programming|
Applied Soft Computing, 2016,
|E Emarya, H M Zawbaa and A E Hassaniena||Binary ant lion approaches for feature selection|
Neurocomputing, July 2016,
|E Emarym, H M Zawbaa, A E Hassanien and B Parv||Multi-objective retinal vessel localization using flower pollination search algorithm with pattern search||Advances in Data Analysis and Classification, May 2016, pp 1–17, DOI: 10.1007/s11634-016-0257-7|
|H M Zawbaa, J Szl, C Grosan, R Jachowicz and A Mendyk||Computational Intelligence Modeling of the Macromolecules Release from PLGA|
Microspheres - Focus on Feature Selection
|PLOS ONE, DOI:10.1371/journal.pone.0157610, June, 2016|
|P Kazemia, M H Khalid, J Szleka, A Mirtičb, G K Reynoldsb, R Jachowicza and A Mendyk||Computational intelligence modeling of granule size distribution for oscillating milling|
Powder Technology, Volume 301, 2016, 1252–1258.
|P Bahramia, P Kazemib, S Mahdavic and H Ghobadi||A novel approach for modeling and optimization of surfactant/polymer flooding based on Genetic Programming evolutionary algorithm|
Fuel, Volume 179, 2016, 289–298,
|J Szlek, A Paclawski, R Lau, R Jachowicz, P Kazemi and A Mendyk||Empirical search for factors affecting mean particle size of PLGA microspheres containing macromolecular drugs|
Computer Methods and Programs in Biomedicine, Volume 134, 2016, 137–147,
|VK Ojha, S Schiano, C Wu, V Snasel and A Abraham||Predictive Modelling of Die Filling of the Pharmaceutical Granules Using the Flexible Neural Tree|
Neural Computing and Applications, 2016.
|V K Ojha, P Dutta and A Chaudhuri||Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study|
Neural Computing and Applications, 2016.
|S Schiano, C Y Wu, A Mirtic and G Reynolds||A Novel Use of Friability Testing for Characterising Ribbon Milling Behaviour|
European Journal of Pharmaceutics and Biopharmaceutics, 2016.
|J Zhang, C Pei, S Schiano, D Heaps and C Y Wu||The application of terahertz pulsed imaging in characterising density distribution of roll-compacted ribbons|
European Journal of Pharmaceutics and Biopharmaceutics, 2016.
|M H Khalid, P K Tuszyński, P Kazemi, J Szlek, R Jachowicz and A Mendyk||Transparent computational intelligence models for pharmaceutical tableting process|
Complex Adaptive Systems Modeling, 2016.
|H M Zawbaa, E Emary and C Grosan||Feature selection via chaotic antlion optimization|
PLoS ONE, 2016, Vol. 11, No. 3.
|A Hashibon, R Schubert, T Breinlinger and T Kraft||A DEM contact model for history-dependent powder flows|
Computational Particle Mechanics, January 2016, 1-12.
|A Pérez Gago and P Kleinebudde||MCC–mannitol mixtures after roll compaction/dry granulation: percolation thresholds for ribbon microhardness and granule size distribution|
Pharmaceutical Development and Technology (2016).
|A Mazor, L Perez-Gandarillas, A de Ryck and A Michrafy||Effect of roll compactor sealing system designs: A finite element analysis||Powder Technology, Volume 289, February 2016, 21-30.|
|S M Miraboutalebi, P Kazemi, P Bahrami||Fatty Acid Methyl Ester (FAME) composition used for estimation of biodiesel cetane number employing random forest and srticial neural networks: A new approach||Fuel (2016) 166, 143-151|
|A Mendyk, P K Tuszyński, M H Khalid, R Jachowicz, and S Polak||How-To: Empirical IVIVR Without Intravenous Data||Dissolution Technologies (2015) 22:2, 12-18|
|Z. Yan, S.K. Wilkinson, E.H. Stitt and M. Marigo||Discrete Element Modelling (DEM) input parameters: understanding their impact on model predictions using statistical analysis|
Computational Particle Mechanics, 2015.
|A E Hassanien, E Emary and H M Zawbaa||Retinal blood vessel localization approach based on bee colony swarm optimization, fuzzy c-means and pattern search||International Journal of Visual Communication and Image Representation, International Journal of Visual Communication and Image Representation, 2015, Vol. 31, 186-196,|
|E Emary, H M Zawbaa and A E Hassanien||Binary Gray Wolf Optimization Approaches for Feature Selection||International Journal of Neurocomputing, 2015, Vol. 172, 371-381|
|V.K. Ojha, K. Jackowski, A. Abraham and V. Snasel||Dimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro- and nanoparticle dissolution rate||International Journal of Nanomedicine, 2015:10 1119-1129.|
|L P Gandarillas, A Mazor, D Souriou, O Lecoq and A Michrafy||Compaction behaviour of dry granulated binary mixtures|
Powder Technology, 2015.
Courses and conferences
IPROCOM aims to develop a cohort of 15 young scientists with the necessary depth and breadth of experience combined with the research and transferable skills required to communicate and work effectively across disciplinary and sectoral boundaries in the field of particulate product manufacturing and process engineering.
IPROCOM will provide training on both the task-specific research skills and the generic and transferable skills through a combination of local, e-learning, network-wide and external training activities.