For　the　high-performance　microwave　component　and　system　design,　besides　electromagnetic　(EM)　physics　domain,　we　also　need　to　consider　the　operation　of　the　real-world　multiphysics　(MP)　environment　that　contains　the　effects　of　other　physics　domains.　EM-centric　MP　analysis　and　design　optimization　become　very　important.　In　this　article,　for　the　first　time,　we　develop　a　novel　parallel　EM-centric　multiphysics　optimization　(MPO)　technique.　In　our　proposed　technique,　the　pole/residue-based　transfer　function　is　exploited　to　build　an　effective　and　robust　surrogate　model.　A　group　of　modified　quadratic　mapping　functions　is　formulated　to　map　the　relationships　between　pole/residues　of　the　transfer　function　and　the　design　variables.　Multiple　EM-centric　MP　evaluations　are　performed　in　parallel　to　generate　the　training　samples　for　establishing　the　surrogate　model.　Using　our　proposed　technique,　the　surrogate　model　can　be　valid　in　a　relatively　large　neighborhood,　which　makes　an　effective　and　large　optimization　update　in　each　optimization　iteration.　The　trust　region　algorithm　is　performed　to　guarantee　the　convergence　of　the　proposed　MPO　algorithm.　Our　proposed　MPO　technique　takes　a　small　number　of　iterations　to　obtain　the　optimal　EM-centric　MP　response.　Two　microwave　filter　examples　are　used　to　demonstrate　the　validity　of　the　proposed　technique.