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Dr. Qun Shao,
Associate Professor

Information about Dr. Qun Shao at the University of Bradford.

School of Management
(Faculty of Mgmt, Law & Social Sciences)
Email:
q.shao@bradford.ac.uk
Telephone:
+44 1274 236041
Photo of Dr. Qun Shao

Biography

Dr. Qun Shao is an Associate Professor and Deputy Director of Open Innovation in the School of Management at the University of Bradford. He is actively involved in managing entrepreneurship programmes for students, graduate entrepreneurs, and aspiring entrepreneurs in our local community. He is also co-founder of both the Bradford UK-China Healthtech Open Innovation programme and the RCUK (Research Council UK) China Science Bridges programme. Qun has many years of knowledge transfer experience in both academic and industrial organisations across China and UK. During his role as China Programme Manager the University of Bradford was awarded a UK first-ranked RCUK Science Bridges programme (£1.3m). Qun has built strong networks with Chinese academia, industry and government and has led programmes and co-facilitated workshops that have created over 40 funded collaborations and joint venture companies between UK SMEs and academics, and counterparts in China.

Qun is also a co-founder and Chief Operations Officer of Crystec Ltd, a spin-out of the University of Bradford, focused on pharmaceutical particle design and crystal engineering. He has overall responsibility for coordinating international research, supply chain and manufacturing operations.

Qun holds a PhD in the field of knowledge engineering and artificial intelligence applied to pharmaceutical manufacturing, and has a multi-disciplinary educational background covering science, engineering and information technology. His research expertise relates to application of knowledge engineering and artificial intelligence to pharmaceutical formulations and Traditional Chinese Medicine modernisation.

Qun is a PhD supervisor at the University of Bradford, and collaborates with the Shanghai Institute of Material Medica (Chinese Academy of Science) and China’s leading Tsinghua University. He has published over 30 scientific articles in major international journals and has received a number of research grants/awards. Prior to moving to the UK, Qun worked in a national chemical research institute in China. Qun is fluent in English, with Mandarin as his native language.

Publications

There are 24 publications involving or that are attributed to Dr. Qun Shao. They are listed as:

  • book chapter (2)
  • peer reviewed journal (22)

Book Chapter

Dr. Qun Shao has 2 publication(s) listed under book chapter.
Title Year Publication name Journal Volume Pages Authors Editors ISSN Publisher DOI Location
3D structural investigation of solid dosage forms 2015 Yin, X.; Wu, L.; He, Y.; Guo, Z.; Ren, X.; Shao, Qun; Gu, J.; Xiao, T.; York, Peter; Zhang, J.
3D Structural Investigation of Solid Dosage Forms 2015 Computational Pharmaceutics: Application of Molecular Modeling in Drug Delivery Computational Pharmaceutics: Application of Molecular Modeling in Drug Delivery 235 - 262 Yin X.;Wu L.;He Y.;Guo Z.;Ren X.;Shao Q.;Gu J.;Xiao T.;York P.;Zhang J. 9781118573983 10.1002/9781118573983.ch12

Peer Reviewed Journal

Dr. Qun Shao has 22 publication(s) listed under peer reviewed journal.
Title Year Publication name Journal Volume Pages Authors Editors ISSN Publisher DOI Location
Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks 2007 de Matas, Marcel; Chrystyn, Henry; Shao, Qun; Silkstone, Victoria L.
Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation 2009 Shao, Qun; Rowe, Raymond C.; York, Peter
Investigation of an artificial intelligence technology- model trees Novel applications for an immediate release tablet formulation database 2009 Shao, Qun; Rowe, Raymond C.; York, Peter
Data mining of fractured experimental data using neurofuzzy logic-discovering and integrating knowledge hidden in multiple formulation databases for a fluid-bed granulation process. 2008 Shao, Qun; Rowe, Raymond C.; York, Peter
Comparison of neurofuzzy logic and decision trees in discovering knowledge from experimental data of an immediate release tablet formulation 2007 European Journal Of Pharmaceutical Sciences 31 129 - 136 Shao Q.;Rowe R.;York P. 0928-0987 10.1016/j.ejps.2007.03.003
Microstructural investigation to the controlled release kinetics of monolith osmotic pump tablets via synchrotron radiation X-ray microtomography 2012 International Journal of Pharmaceutics 427 270 - 275 Li H.;Yin X.;Ji J.;Sun L.;Shao Q.;York P.;Xiao T.;He Y.;Zhang J. 0378-5173 10.1016/j.ijpharm.2012.02.017
Visualization and quantitative profiling of mixing and segregation of granules using synchrotron radiation X-ray microtomography and three dimensional reconstruction 2013 International Journal of Pharmaceutics 445 125 - 133 Liu R.;Yin X.;Li H.;Shao Q.;York P.;He Y.;Xiao T.;Zhang J. 0378-5173 10.1016/j.ijpharm.2013.02.010
In situ 3D topographic and shape analysis by synchrotron radiation X-ray microtomography for crystal form identification in polymorphic mixtures 2016 Scientific Reports 6 Yin X.;Xiao T.;Nangia A.;Yang S.;Lu X.;Li H.;Shao Q.;He Y.;York P.;Zhang J. 2045-2322 10.1038/srep24763
Investigation of an artificial intelligence technology-Model trees. Novel applications for an immediate release tablet formulation database 2007 European Journal Of Pharmaceutical Sciences 31 137 - 144 Shao Q.;Rowe R.;York P. 0928-0987 10.1016/j.ejps.2007.03.004
Measurement and correlation study of silymarin solubility in supercritical carbon dioxide with and without a cosolvent using semi-empirical models and back-propagation artificial neural networks 2017 Asian Journal of Pharmaceutical Sciences 12 456 - 463 Yang G.;Li Z.;Shao Q.;Feng N. 1818-0876 10.1016/j.ajps.2017.04.004
Fractal structure determines controlled release kinetics of monolithic osmotic pump tablets 2013 Journal of Pharmacy and Pharmacology 65 953 - 959 Yin X.;Li H.;Liu R.;Chen J.;Ji J.;Chen J.;Shao Q.;Xiao T.;York P.;He Y.;Zhang J. 0022-3573 10.1111/jphp.12056
Artificial intelligence: The key to process understanding 2007 Pharmaceutical Technology Europe 19 44 - 48 de Matas M.;Shao Q.;Shukla R. 0164-6826
Application of supercritical fluid precipitation technology for preparation of poorly water-soluble drugs 2016 Chinese Pharmaceutical Journal 51 526 - 532 Yang G.;Feng N.;Shao Q. 1001-2494 10.11669/cpj.2016.07.002
Quantification of swelling and erosion in the controlled release of a poorly water-soluble drug using synchrotron x-ray computed microtomography 2013 AAPS Journal 15 1025 - 1034 Yin X.;Li H.;Guo Z.;Wu L.;Chen F.;De Matas M.;Shao Q.;Xiao T.;York P.;He Y.;Zhang J. 1550-7416 10.1208/s12248-013-9498-y
Evaluation of in vitro in vivo correlations for dry powder inhaler delivery using artificial neural networks 2008 European Journal Of Pharmaceutical Sciences 33 80 - 90 de Matas M.;Shao Q.;Richardson C.;Chrystyn H. 0928-0987 10.1016/j.ejps.2007.10.001
Three dimensional structural insight of laser drilled orifices in osmotic pump tablets 2016 European Journal Of Pharmaceutical Sciences 93 287 - 294 Wu L.;Wang L.;Wang S.;Xiao T.;Chen M.;Shao Q.;York P.;Singh V.;Yin X.;Gu J.;Zhang J. 0928-0987 10.1016/j.ejps.2016.08.039
Application of chemomic release kinetics to evaluation of the release characteristics of Yinqiaojiedu tablets 2008 Chinese Journal of Natural Medicines 6 450 - 455 Chen L.;Wang Z.;Fu D.;Ling D.;Ge W.;Gu J.;York P.;Shao Q.;Zhang J. 1672-3651 10.3724/SP.J.1009.2008.00450
Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation 2006 European Journal Of Pharmaceutical Sciences 28 394 - 404 Shao Q.;Rowe R.;York P. 0928-0987 10.1016/j.ejps.2006.04.007
The impact of material attributes and process parameters on the micronisation of lactose monohydrate 2011 International Journal of Pharmaceutics 408 58 - 66 Shariare M.;De Matas M.;York P.;Shao Q. 0378-5173 10.1016/j.ijpharm.2011.01.047
Microstructural investigation using synchrotron radiation X-ray microtomography reveals taste-masking mechanism of acetaminophen microspheres 2016 International Journal of Pharmaceutics 499 47 - 57 Guo Z.;Yin X.;Liu C.;Wu L.;Zhu W.;Shao Q.;York P.;Patterson L.;Zhang J. 0378-5173 10.1016/j.ijpharm.2015.12.045
Prediction of Rate Constant for Supramolecular Systems with Multiconfigurations 2016 Journal of Physical Chemistry A 120 981 - 991 Guo T.;Li H.;Wu L.;Guo Z.;Yin X.;Wang C.;Sun L.;Shao Q.;Gu J.;York P.;Zhang J. 1089-5639 10.1021/acs.jpca.5b11816
Improved oral bioavailability of notoginsenoside R1 with sodium glycocholate-mediated liposomes: Preparation by supercritical fluid technology and evaluation in vitro and in vivo 2018 International Journal of Pharmaceutics 552 360 - 370 Fan Q.;Zhang Y.;Hou X.;Li Z.;Zhang K.;Shao Q.;Feng N. 0378-5173 10.1016/j.ijpharm.2018.10.005