In this seminar, I will present my research contributions spanning semiconductor detector development, charged-particle tracking, and heavy-flavor physics in large-scale high-energy physics experiments. My PhD research focused on the design of microwave plasma systems and the growth of high-quality diamond films for the development of radiation-hard diamond detectors. Currently, I contribute to the characterization of next-generation monolithic active pixel sensors (MAPS) for the upgrade of the ALICE Inner Tracking System (ITS3) at the LHC, as well as for the silicon vertex tracker (SVT) of the electron–Proton/Ion Collider (ePIC) experiment at the future Electron–Ion Collider (EIC). These studies include laboratory measurements and test-beam data analysis to evaluate detector performance in terms of spatial resolution, timing performance, and detection efficiency. In parallel, I have contributed to the development of tracking algorithms and fast simulation tools for ALICE, ALICE3, and the ePIC experiment to optimize the tracking performance of the experimental setup. On the physics side, I will present recent Run 3 results on azimuthal correlations of D mesons with primary charged particles in proton–proton collisions at √s = 13 TeV, using advanced machine-learning techniques, approved by the ALICE collaboration. These measurements provide new insights into heavy-quark fragmentation and hadronization. Finally, I will discuss the exciting physics programs at EIC and outline my ongoing and future research, focusing on jets and heavy-flavor measurements at the LHC and the EIC, leveraging advanced detector technologies, precision tracking, and state-of-the-art machine-learning methods.