As a next-generation wireless technology, the in-band full-duplex (IBFD) transmission enables simultaneous transmission and reception of signals over the same frequency, thereby doubling spectral efficiency. Further, a continuous up-scaling of wireless network carrier frequencies arising from ever-increasing data traffic is driving research on integrated sensing and communications (ISAC) systems. In this context, we study the co-design of common waveforms, precoders, and filters for an IBFD multi-user (MU) multiple-input multiple-output (MIMO) communications with a distributed MIMO radar. In particular, we tackle a multi-target detection and localization problem in this distributed FD ISAC framework. This co-design problem that includes practical MU-MIMO constraints on power and quality of service is highly non-convex. We solve this problem using an alternating optimization framework and also propose a low-complexity procedure based on Barzilai–Borwein gradient algorithm to obtain the design parameters and mixed-integer linear program for distributed target localization. Numerical experiments demonstrate the feasibility and accuracy of multi-target sensing of the distributed FD ISAC system. Toward the end of the talk, we briefly touch upon our research on other ISAC topics.