Prof. Hardavellas works on parallel systems and computer architecture, primarily on techniques to enable extreme-scale multicore processors, novel memory systems, and practical quantum systems. His research aims to pave the way to energy-efficient computing by investigating ideas to combat dark silicon, and to speed up the execution of programs by several factors through parallelism extraction, novel architectures, blending of compilers, runtimes, operating systems and hardware, and the use of emerging technologies. Prof. Hardavellas' current work focuses on quantum chiplets, quantum dynamic decoupling, programmable memory systems, hybrid memory consistency models, and open hardware.