▁Prem ium ▁for ▁innov ation ▁using ▁neural ▁networks . ▁ ▁Tar assen ko ▁then ▁went ▁on ▁to ▁develop ▁methods ▁for ▁learning ▁how ▁to ▁character ise ▁normal ity ▁in ▁safety - crit ical ▁systems . ▁With ▁his ▁research ▁team , ▁he ▁designed ▁the ▁Q U IC K ▁system , ▁which ▁was ▁at ▁the ▁core ▁of ▁Roll s - Ro y ce ’ s ▁engine ▁health ▁monitoring ▁strategy ▁in ▁the ▁ 1 9 9 0 s ▁and ▁the ▁early ▁ 2 0 0 0 s . ▁As ▁a ▁result , ▁he ▁and ▁his ▁Roll s - Ro y ce ▁collabor ators ▁were ▁awarded ▁the ▁Chair man ’ s ▁Team ▁Award ▁for ▁Techn ical ▁In nov ation ▁in ▁ 2 0 0 1 ▁and ▁the ▁Sir ▁Henry ▁Roy ce ▁High ▁Value ▁Pat ent ▁Award ▁in ▁ 2 0 0 8 . ▁ ▁When ▁he ▁became ▁the ▁first ▁Director ▁of ▁the ▁Oxford ▁Institute ▁of ▁Bi omed ical ▁Engineering ▁in ▁ 2 0 0 8 , ▁Tar assen ko ▁focused ▁his ▁research ▁on ▁patient ▁monitoring , ▁both ▁in ▁and ▁out ▁of ▁hospital . ▁His ▁work ▁has ▁had ▁a ▁major ▁impact ▁on ▁the ▁identification ▁of ▁d eter ior ation ▁in ▁ac ute ▁care ▁and ▁on ▁the ▁management ▁of ▁long - term ▁conditions . ▁He ▁has ▁been ▁a ▁pione er ▁in ▁developing ▁early ▁warning ▁systems ▁for ▁ac utely ▁ill ▁patients . ▁The ▁machine - learning ▁system ▁( Vis ens ia ) ▁which ▁he ▁designed ▁for ▁patient ▁monitoring ▁in ▁critical ▁care ▁was ▁the ▁first ▁such ▁system ▁to ▁gain ▁F DA ▁appro