The advanced communications and sensing (ACES) testbed setup by Singh and Sen will be utilized for these purposes. The availability of the ACES testbed allows the generation of large experimental data-sets, crucial for AI advances such as deep learning and back-propagation to become useful. Co-PI Zhou is helping guide the plan for building fully automated capability within the ACES testbed. This will help the testbed to be remotely controllable, thus helping SUNY Poly provide the world's first remotely accessible THz testbed. The automated testbed will ultimately be made available for researchers in the partner institutions as well as for remote access to under-serviced institutions, including KNUST. Arjun Singh has successfully led to the development of the THz research program at SUNY Poly, by supervising the purchase of over $500,000 in equipment for setting up the Advanced Communications, Electronics and Sensing testbed, which is a state-of-the-art testbed for THz communications.
